CN106845625A - A kind of interactive output intent and robot for robot - Google Patents

A kind of interactive output intent and robot for robot Download PDF

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Publication number
CN106845625A
CN106845625A CN201611199607.2A CN201611199607A CN106845625A CN 106845625 A CN106845625 A CN 106845625A CN 201611199607 A CN201611199607 A CN 201611199607A CN 106845625 A CN106845625 A CN 106845625A
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China
Prior art keywords
slave computer
instruction
robot
priority
execution priority
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CN201611199607.2A
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Chinese (zh)
Inventor
畅敬佩
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Beijing Guangnian Wuxian Technology Co Ltd
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Beijing Guangnian Wuxian Technology Co Ltd
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Priority to CN201611199607.2A priority Critical patent/CN106845625A/en
Publication of CN106845625A publication Critical patent/CN106845625A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/008Artificial life, i.e. computing arrangements simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour

Abstract

The invention discloses a kind of interactive output intent and robot for robot.Methods described includes:Obtain multi-modal input information and parse, the slave computer instruction of the multi-modal interaction output of generation correspondence;It is the corresponding execution priority of the slave computer instructions match, current all slave computer instructions not sent are ranked up according to the execution priority;Robot system slave computer is arrived according to the slave computer instruction is sequentially output to the ranking results that all slave computers not sent are instructed;Slave computer performs the slave computer instruction and carries out corresponding multi-modal output.Method according to the invention it is possible to the order of transmission instructed according to actual interaction scenario reasonable arrangement slave computer, so as to ensure that execution priority slave computer instruction high can preferentially be sent to slave computer and be performed as early as possible.The logic of slave computer execution has thus been effectively ensured, so as to ensure the perfect realization of robot application function, and then the Consumer's Experience of robot has been improved.

Description

A kind of interactive output intent and robot for robot
Technical field
The present invention relates to robot field, and in particular to a kind of interactive output intent and robot for robot.
Background technology
With continuing to develop for robot technology, the increasing of intelligent robot is applied to the daily production of the mankind In life.With the continuous upgrading of intelligent robot hardware device, the function of robot also becomes increasingly complex, corresponding robot Runtime data treating capacity is also continued to increase.A most direct embodiment is exactly, in robot running, robot system The command quantity for being generated in the internal unit time and being transmitted is continuously increased.Especially, possessing host computer and slave computer structure In robot system, in the interaction of host computer and slave computer, host computer needs to be sent to slave computer and holds in the unit interval Capable slave computer instruction is continuously increased.
With the continuous upgrading of robot system disposal ability, in the implementation process of some more complicated application of function, The execution action that robot is faced is more, it is difficult to the coherent execution for realizing each action, this has just ultimately resulted in machine People's application function can not be realized perfectly, so as to leverage Consumer's Experience.
The content of the invention
The invention provides a kind of interactive output intent for robot, methods described includes:
Obtain multi-modal input information and parse, the slave computer instruction of the multi-modal interaction output of generation correspondence;
It is the corresponding execution priority of the slave computer instructions match, is not sent out currently all according to the execution priority The slave computer instruction sent is ranked up;
Machine is arrived according to the slave computer instruction is sequentially output to the ranking results that all slave computers not sent are instructed Device people's system slave computer;
Slave computer performs the slave computer instruction and carries out corresponding multi-modal output.
In one embodiment, current all slave computer instructions not sent are arranged according to the execution priority Sequence, wherein:
The slave computer instruction that will be currently generated adds slave computer instruction set;
Prioritization is carried out to all of slave computer instruction in the instruction set.
Slave computer instruction is deleted from the instruction set after output priority highest slave computer is instructed.
In one embodiment, current all slave computer instructions not sent are arranged according to the execution priority Sequence, wherein, based on the execution priority, the generation time instructed according to the slave computer and the slave computer are instructed Implementing precondition be ranked up, including:
In two slave computer instructions, before the instruction of one of slave computer is for the execution of another slave computer instruction When carrying, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In two slave computer instructions in the absence of implementing precondition relation, when the execution priority is identical, press Sequencing according to the slave computer instruction generation time is ranked up.
In one embodiment, it is the corresponding execution priority of the slave computer instructions match, wherein:
The interaction mode of current robot and/or the interaction demand of user are determined according to the multi-modal input information;
The execution priority of the slave computer instruction is determined based on the interaction mode and/or the interaction demand.
In one embodiment, it is the corresponding execution priority of the slave computer instructions match, wherein:
Corresponding execution priority levels list is instructed according to default slave computer in system, to slave computer instruction With corresponding execution priority.
The invention allows for a kind of intelligent robot, the robot includes:
Input acquisition module, it is configured to obtain multi-modal input information;
Directive generation module, it is configured to the parsing multi-modal input information, the multi-modal interaction output of generation correspondence Slave computer is instructed;
Priority match module, it is configured to be the corresponding execution priority of the slave computer instructions match;
Instruction reorder module, it is configured to refer to current all slave computers not sent according to the execution priority Order is ranked up;
Command output module, it is configured to defeated successively according to the ranking results instructed to all slave computers not sent Go out the slave computer instruction;
Slave computer, its slave computer instruction for being configured to perform the command output module output carries out corresponding multi-modal defeated Go out.
In one embodiment, the instruction reorder module includes:
Instruction set memory cell, its slave computer instruction for being configured to preserve instruction set and will be currently generated adds the next Machine instruction set, also, slave computer instruction is deleted from the instruction set after output priority highest slave computer is instructed;
Instruction set sequencing unit, it is configured to carry out prioritization to all of slave computer instruction in the instruction set.
In one embodiment, the instruction reorder module is additionally configured to based on the execution priority, according to described The generation time of slave computer instruction and the implementing precondition of slave computer instruction are ranked up, wherein:
In two slave computer instructions, before the instruction of one of slave computer is for the execution of another slave computer instruction When carrying, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In two slave computer instructions in the absence of implementing precondition relation, when the execution priority is identical, press Sequencing according to the slave computer instruction generation time is ranked up.
In one embodiment, the priority match module includes:
Interactive information collecting unit, its interaction for being configured to determine according to the multi-modal input information current robot State and/or the interaction demand of user;
Priority determining unit, it is configured to the interaction mode and/or the interaction demand determines the bottom The execution priority of machine instruction.
In one embodiment, the priority match module includes:
Priority list storage unit, default slave computer instructs corresponding execution priority during it is configured to preservation system Levels list;
Priority determining unit, it is configured to according to the execution priority levels list to the slave computer instructions match Corresponding execution priority.
Method according to the invention it is possible to the order of transmission instructed according to actual interaction scenario reasonable arrangement slave computer, from And ensureing execution priority slave computer instruction high can preferentially be sent to slave computer and be performed as early as possible.Thus it is effectively ensured The logic that slave computer is performed, so as to ensure the perfect realization of robot application function, and then improves the user's body of robot Test.
Further feature of the invention or advantage will be illustrated in the following description.Also, Partial Feature of the invention or Advantage will be become apparent by specification, or be appreciated that by implementing the present invention.The purpose of the present invention and part Advantage can be realized or obtained by specifically noted step in specification, claims and accompanying drawing.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and constitutes a part for specification, with reality of the invention Apply example to be provided commonly for explaining the present invention, be not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is method flow diagram according to an embodiment of the invention;
Fig. 2~Fig. 5 is the partial process view of method according to embodiments of the present invention;
Fig. 6 and Fig. 7 are robot system architecture's sketches according to embodiments of the present invention;
Fig. 8 and Fig. 9 are robot system part-structure sketches according to embodiments of the present invention.
Specific embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, implementation personnel of the invention whereby Can fully understand how application technology means solve technical problem for the present invention, and reach technique effect implementation process and according to The present invention is embodied according to above-mentioned implementation process.If it should be noted that do not constitute conflict, each embodiment in the present invention And each feature in each embodiment can be combined with each other, the technical scheme for being formed protection scope of the present invention it It is interior.
With continuing to develop for robot technology, the increasing of intelligent robot is applied to the daily production of the mankind In life.With the continuous upgrading of intelligent robot hardware device, the function of robot also becomes increasingly complex, corresponding robot Runtime data treating capacity is also continued to increase.A most direct embodiment is exactly, in robot running, robot system The command quantity for being generated in the internal unit time and being transmitted is continuously increased.Especially, possessing host computer and slave computer structure In robot system, in the interaction of host computer and slave computer, host computer needs to be sent to slave computer and holds in the unit interval Capable slave computer instruction is continuously increased.
With the continuous upgrading of robot system disposal ability, in the implementation process of some more complicated application of function, The execution action that robot is faced is more, it is difficult to the coherent execution for realizing each action, this has just ultimately resulted in machine People's application function can not be realized perfectly, so as to leverage Consumer's Experience.
Regarding to the issue above, the present invention proposes a kind of interactive output intent for robot.
In the actual moving process of robot, robot coherent cannot realize the main of the execution of each action Reason is:The host computer of robot generates a large amount of slave computers for needing slave computer to perform and instructs simultaneously or in a short time, Due to (performing one every time) that slave computer instruction typically sequentially sends (send one every time) and sequentially carries out, therefore when upper Logic exception occurs in the order of transmission of position machine transmission slave computer instruction, and (the slave computer instruction for being for example badly in need of execution at once is arranged to Longer latency is needed to be sent after being instructed with the slave computer of temporary respite) when, it necessarily causes the execution of slave computer different Often.
Based on above-mentioned analysis, in an embodiment of the present invention, when simultaneously there is a plurality of slave computer to be sent and instruct, on Position machine is not that the sequencing (or according to random sequence) generated according to it is transmitted, but first it is carried out to be based on holding The sequence of row major level, is transmitted according to ranking results so that the slave computer of execution priority (being badly in need of performing at once) higher Instruction can arrive first at slave computer and be performed, so as to ensure the logic that slave computer is performed, and then ensure robot application The perfect realization of function, improves the Consumer's Experience of robot.
Next the detailed process of method according to embodiments of the present invention is described in detail based on accompanying drawing, in the flow chart of accompanying drawing The step of showing can perform in comprising the such as one group computer system of computer executable instructions.Although in flow charts The logical order of each step is shown, but in some cases, can be performing shown different from order herein or retouch The step of stating.
As shown in figure 1, in one embodiment, robot (host computer of robot system) obtains multi-modal input letter first Breath (step S100);Then the multi-modal input information is parsed to determine to respond the multi-modal interaction output of the multi-modal input information (step S110);Ultimately produce to should it is multi-modal interaction output slave computer instruct (step S120).
Next, host computer is not that the slave computer instruction of generation directly is sent into slave computer immediately to perform, but it is The corresponding execution priority (step S130) of slave computer instructions match, according to execution priority to current all bottoms not sent Machine instruction is ranked up (step S140);Then it is sequentially output down according to the ranking results that all slave computers not sent are instructed Robot system slave computer (step S150) is arrived in position machine instruction;Last slave computer execution slave computer instruction carries out corresponding multi-modal Output (step S160).
In above process, slave computer instruction is ranked up according to execution priority before slave computer instruction is sent, This ensures that execution priority slave computer instruction high (the slave computer instruction that needs are immediately performed) can preferentially be sent to Slave computer is simultaneously performed as early as possible.The logic of slave computer execution is thus effectively ensured, so as to ensure robot application function Perfect realization, and then improve the Consumer's Experience of robot.
Further, in an embodiment of the present invention, to all slave computers not sent by the way of instruction set sequence Instruction is ranked up.Specifically, in one embodiment, the slave computer that will be currently generated first after new slave computer instruction is generated Instruction adds slave computer instruction set (all slave computer instructions not sent for generating before have been preserved in the instruction set);Then Prioritization is carried out to all of slave computer instruction in instruction set.
When slave computer instruction is exported to slave computer, output order concentrates the slave computer of tagmeme most forward (highest priority) Instruction, also, slave computer instruction is deleted from instruction set after the instruction is output.
In one embodiment, the generation transmission process of slave computer instruction can be divided into two relatively independent flows.
First it is the generating process of slave computer instruction, as shown in Fig. 2 in one embodiment, the host computer of robot system Multi-modal input information (step S200) is obtained first;Then the multi-modal input information is parsed to determine to respond the multi-modal input Multi-modal interaction output (step S210) of information;Then generate to should it is multi-modal interaction output slave computer instruct (step S220);Instruction is added to the newly-generated corresponding priority (step S230) of slave computer instructions match and by slave computer instruction Collection (step S240);The sequence based on execution priority finally is carried out to the slave computer instruction in instruction set.
By taking a specific application as an example, it is assumed that there are and the execution priority of A1~A10 (the execution priority highest of A1, it is excellent First level grade setting is descending).In an interaction cycle, robot host computer generates bottom according to multi-modal input information Machine instructs B1, and is its matching execution priority A4, in adding it to instruction set.Assuming that now others do not send Slave computer is instructed, then instruction set is represented by (B1 (A4)).Next, in next interaction cycle, robot host computer root Slave computer instruction B2 is generated according to multi-modal input information, and is its matching execution priority A5, in adding it to instruction set. Assuming that now slave computer instruction B1 is not transmitted, then instruction set is represented by (B1 (A4), B2 (A5)).Next, In next interaction cycle, robot host computer generates slave computer instruction B3 according to multi-modal input information, and is it With execution priority A1, in adding it to instruction set.Assuming that now slave computer instruction B1 is not transmitted, then instruct Collection is represented by (B3 (A4), B1 (A4), B2 (A5)).The current instruction set of correspondence, the transmission order of slave computer instruction just should It is B3, B1, B2.
Followed by the transmission process of slave computer instruction.As shown in figure 3, when needing to send slave computer instruction, robot The host computer of system extracts slave computer instruction (step S300) that most forward (execution priority highest) is ranked in instruction set first; Then the instruction that will be extracted is sent to slave computer (step S310);Then judge that current instruction sends whether operation succeeds (step S320);If it fails, then return to step S300, sends the instruction again;If it succeeds, being arranged in deleting instruction set Most forward slave computer instruction (instruction being successfully transmitted) (step S330) in position.
Further, in order to prevent the host computer when slave computer has not carried out completion current slave computer instruction from constantly sending out The slave computer instruction congestion sent new slave computer to instruct and cause.In one embodiment, host computer is needed before sending slave computer instruction Verify slave computer state.
Specifically, as shown in figure 4, whether the host computer of robot system first determines whether can currently send slave computer instruction (whether slave computer is in the idle condition of acceptable new command) (step S400);If it cannot send (slave computer is busy) Continue waiting for and return to step S400;If can send, ranked most forward (execution priority highest) in extraction instruction set Slave computer instructs (step S410);Then the instruction that will be extracted is sent to slave computer (step S420);Then judge current Whether instruction sends operation successful (step S430);If it fails, then return to step S410, sends the instruction again;If Success, then rank most forward slave computer instruction (instruction being successfully transmitted) (step S440) and return in deletion instruction set Step S400 judges whether to continue to send next slave computer instruction.
It is corresponding, in one embodiment, as shown in figure 5, the slave computer of robot system judges that whether the state of itself may be used (step S500) is instructed to perform new slave computer;When currently cannot temporarily receive new slave computer instruction, feedback host computer The busy condition (step S550) and return to step S500 of itself repeat to judge that oneself state is (after Fixed Time Interval or current It is carrying out after the completion of slave computer instruction execution).
When can currently receive new slave computer instruction, the idle condition (step S510) of feedback host computer itself;On Position machine determines that slave computer can receive new command (step 400 shown in Fig. 4) after receiving the feedback, sends new slave computer and refers to Make (step 410,420 shown in Fig. 4).Slave computer receives new slave computer instruction (step 520), and the feedback after receiving Host computer is received successfully (step S530).Then slave computer performs slave computer instruction (step S540) for receiving, and is performing Finish rear return to step S500 and judge whether new slave computer instruction itself can be received.
Further, in step S530, feedback host computer is received into after slave computer receives new slave computer instruction Work(.Host computer judges that current instruction sends operation and runs succeeded (step 430 shown in Fig. 4) according to the feedback of slave computer.If Slave computer is not received by slave computer instruction or is not received by complete slave computer instruction, then do not perform step S530 and (do not send out Go out feedback).Host computer is not received by the feedback of slave computer and then illustrates currently sending in slave computer instruction Fixed Time Interval Instruction send operation perform failure.
Further, in the present invention, it is ensured that one of key point of logic that slave computer is performed is under to be sent The sequence of position machine instruction, specifically, the correct execution priority of slave computer instructions match as to be sent.Specifically, one In embodiment, the interaction mode of current robot and/or the interaction demand of user are determined according to multi-modal input information first; It is then based on interaction mode and/or interaction demand determines the execution priority of the slave computer instruction.
For example, it is assumed that in the application scenario of a certain robot, robot random autonomic activities in an idle state.Herein In scene, specifically, it needs the slave computer for performing to instruct including:
Operational order (for example realize looking about, move around the instruction of behavior) for carrying out random autonomic activities;
Collection user behavior information, the monitoring user instruction that newly interaction is indicated (for example gathers user's face information, camera Tracking user's face movement).
It is independent behaviour in an idle state in view of current robot, then the new command for responding user in time is most Preferential option, therefore in the slave computer instruction that above-mentioned needs are performed, user behavior information is gathered, newly interaction refers to monitoring user The instruction shown has highest execution priority.That is, when the instruction for realizing looking about is in instruction set, if newly The instruction of camera tracking user's face movement is generated, then the preferential instruction for performing camera tracking user's face movement.
Because under actual man-machine interaction scene, the interaction mode and interaction demand of robot are considerably complicated changeable , determine that the execution priority that slave computer is instructed certainly will need substantial amounts of number by the analysis to interaction mode and interaction demand Operated according to treatment.It is possible to cause the blunt of robot reaction when processor performance is not enough.Even, in data collection and analysis Execution priority matching error is also resulted in during error and performs confusion so as to ultimately result in slave computer.
For above-mentioned situation, in an embodiment of the present invention, construction priority-level list in advance, for different bottoms Machine operational order pre-defines its execution priority.In execution priority corresponding for slave computer instructions match, according to system In default slave computer instruct corresponding execution priority levels list, to the corresponding execution priority of slave computer instructions match.
Further, because under actual man-machine interaction scene, the interaction mode and interaction demand of robot are phases When complicated and changeable, therefore in some interaction scenarios, fixed execution priority can not accurately reflect slave computer instruction and hold Capable reasonable sequencing.
Therefore, in one embodiment, current all slave computer instructions not sent are arranged according to execution priority During sequence, based on execution priority, the implementing precondition that the generation time instructed according to slave computer and slave computer are instructed is carried out Sequence.Specifically, it includes:
In two slave computer instructions, when the instruction of one of slave computer is the implementing precondition of another slave computer instruction When, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In the two slave computers instruction in the absence of implementing precondition relation, when execution priority is identical, according to slave computer The sequencing of generation time is instructed to be ranked up.
To sum up, method according to the invention it is possible to the transmission time instructed according to actual interaction scenario reasonable arrangement slave computer Sequence, so as to ensure that execution priority slave computer instruction high (the slave computer instruction that needs are immediately performed) can preferentially be sent to down Position machine is simultaneously performed as early as possible.The logic of slave computer execution is thus effectively ensured, so as to ensure robot application function Perfection is realized, and then improves the Consumer's Experience of robot.
Further, the method according to the invention, the invention allows for a kind of intelligent robot.As shown in fig. 6, one In embodiment, robot includes:
Input acquisition module 610, it is configured to obtain multi-modal input information;
Directive generation module 620, it is configured to parse multi-modal input information, under the multi-modal interaction output of generation correspondence Position machine instruction, wherein multi-modal interactive output matching responds multi-modal input information;
Priority match module 630, it is configured to be the corresponding execution priority of slave computer instructions match;
Instruction reorder module 640, its be configured to according to execution priority current all slave computers not sent are instructed into Row sequence;
Command output module 650, it is configured to defeated successively according to the ranking results instructed to all slave computers not sent Go out slave computer instruction;
Slave computer 602, its slave computer instruction for being configured to the output of execute instruction output module 650 carries out corresponding multi-modal Output.
Further, in one embodiment, input acquisition module 610, directive generation module 620, priority match module 630th, instruction reorder module 640 and command output module 650 are subordinated to the host computer 601 of robot system.
Further, as shown in fig. 7, in one embodiment, instruction reorder module 740 includes instruction set memory cell 741 And instruction set sequencing unit 742.Specifically:Input acquisition module 710 obtains multi-modal input information;Directive generation module 720 generation slave computer instructions;Priority match module 730 is the corresponding execution priority of slave computer instructions match;Instruction set is deposited The slave computer instruction that storage unit 741 preserves instruction set and will be currently generated adds slave computer instruction set;Instruction set sequencing unit 742 Prioritization is carried out to all of slave computer instruction in instruction set;Command output module 750 will rank most forward in instruction set Slave computer instruction output to slave computer 702;Instruction set memory cell 741 is in the output slave computer instruction of command output module 750 The instruction is deleted from instruction set afterwards;Slave computer 702 performs the slave computer instruction for receiving.
Further, in one embodiment, priority match module is true by current interaction mode and/or interaction demand Determine the execution priority of slave computer instruction.Specifically, as shown in figure 8, priority match module 830 gathers single comprising interactive information Unit 831 and priority confirmation unit 832.
Wherein:Input acquisition module 810 obtains multi-modal input information;The generation slave computer instruction of directive generation module 820; Interactive information collecting unit 831 (in the present embodiment, is got according to multi-modal input information using input acquisition module 810 Multi-modal input information) determine the interaction mode of current robot and/or the interaction demand of user;Priority determining unit 832 interaction modes confirmed based on interactive information collecting unit 831 and/or interaction demand determine instruction generation module 820 are generated Slave computer instruction execution priority.
Further, in one embodiment, priority match module is by execution priority levels list set in advance Determine the execution priority of slave computer instruction.Specifically, as shown in figure 9, priority match module 930 is protected comprising priority list Memory cell 931 and priority determining unit 932.
Wherein:Input acquisition module 910 obtains multi-modal input information;The generation slave computer instruction of directive generation module 920; Default slave computer instructs corresponding execution priority levels list in the preservation system of priority list storage unit 931;Preferentially Level determining unit 932 is based on the execution priority levels list determine instruction generation mould that priority list storage unit 931 is preserved The execution priority of the slave computer instruction of the generation of block 920.
Further, in one embodiment, instruction reorder module is additionally configured to based on execution priority, according to bottom The generation time of machine instruction and the implementing precondition of slave computer instruction are ranked up, wherein:
In two slave computer instructions, when the instruction of one of slave computer is the implementing precondition of another slave computer instruction When, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In two slave computer instructions in the absence of implementing precondition relation, when execution priority is identical, under The sequencing of position machine instruction generation time is ranked up.
While it is disclosed that implementation method as above, but described content is only to facilitate understanding the present invention and adopting Implementation method, is not limited to the present invention.Method of the present invention can also have other various embodiments.Without departing substantially from In the case of essence of the present invention, those of ordinary skill in the art work as can make various corresponding changes or change according to the present invention Shape, but these corresponding changes or deformation should all belong to scope of the claims of the invention.

Claims (10)

1. a kind of interactive output intent for robot, it is characterised in that methods described includes:
Obtain multi-modal input information and parse, the slave computer instruction of the multi-modal interaction output of generation correspondence;
It is the corresponding execution priority of the slave computer instructions match, all is not sent to current according to the execution priority The slave computer instruction is ranked up;
Instructed to robot according to the slave computer is sequentially output to the ranking results that all slave computers not sent are instructed System slave computer;
Slave computer performs the slave computer instruction and carries out corresponding multi-modal output.
2. method according to claim 1, it is characterised in that all do not sent to current according to the execution priority The slave computer instruction is ranked up, wherein:
The slave computer instruction that will be currently generated adds slave computer instruction set;
Prioritization is carried out to all of slave computer instruction in the instruction set.
Slave computer instruction is deleted from the instruction set after output priority highest slave computer is instructed.
3. method according to claim 1, it is characterised in that all do not sent to current according to the execution priority Slave computer instruction is ranked up, wherein, based on the execution priority, during the generation instructed according to the slave computer Between and the slave computer instruction implementing precondition be ranked up, including:
In two slave computer instructions, when the instruction of one of slave computer is the implementing precondition of another slave computer instruction When, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In two slave computer instructions in the absence of implementing precondition relation, when the execution priority is identical, according to institute The sequencing for stating the slave computer instruction generation time is ranked up.
4. method according to claim 1, it is characterised in that performed for the slave computer instructions match is corresponding preferential Level, wherein:
The interaction mode of current robot and/or the interaction demand of user are determined according to the multi-modal input information;
The execution priority of the slave computer instruction is determined based on the interaction mode and/or the interaction demand.
5. method according to claim 1, it is characterised in that performed for the slave computer instructions match is corresponding preferential Level, wherein:
Corresponding execution priority levels list is instructed according to default slave computer in system, to the slave computer instructions match pair The execution priority answered.
6. a kind of intelligent robot, it is characterised in that the robot includes:
Input acquisition module, it is configured to obtain multi-modal input information;
Directive generation module, it is configured to the parsing multi-modal input information, the bottom of the multi-modal interaction output of generation correspondence Machine is instructed;
Priority match module, it is configured to be the corresponding execution priority of the slave computer instructions match;
Instruction reorder module, its be configured to according to the execution priority current all slave computers not sent are instructed into Row sequence;
Command output module, it is configured to be sequentially output institute according to the ranking results that all slave computers not sent are instructed State slave computer instruction;
Slave computer, its slave computer instruction for being configured to perform the command output module output carries out corresponding multi-modal output.
7. robot according to claim 6, it is characterised in that the instruction reorder module includes:
Instruction set memory cell, its slave computer instruction for being configured to preserve instruction set and will be currently generated adds slave computer to refer to Order collection, also, slave computer instruction is deleted from the instruction set after output priority highest slave computer is instructed;
Instruction set sequencing unit, it is configured to carry out prioritization to all of slave computer instruction in the instruction set.
8. robot according to claim 6, it is characterised in that the instruction reorder module is additionally configured to the execution Based on priority, the implementing precondition that the generation time instructed according to the slave computer and the slave computer are instructed is arranged Sequence, wherein:
In two slave computer instructions, when the instruction of one of slave computer is the implementing precondition of another slave computer instruction When, will be come in forward sequence as the instruction of the slave computer of implementing precondition;
In two slave computer instructions in the absence of implementing precondition relation, when the execution priority is identical, according to institute The sequencing for stating the slave computer instruction generation time is ranked up.
9. robot according to claim 6, it is characterised in that the priority match module includes:
Interactive information collecting unit, its interaction mode for being configured to determine according to the multi-modal input information current robot And/or the interaction demand of user;
Priority determining unit, it is configured to the interaction mode and/or the interaction demand determines that the slave computer refers to The execution priority of order.
10. robot according to claim 6, it is characterised in that the priority match module includes:
Priority list storage unit, default slave computer instructs corresponding execution priority rank during it is configured to preservation system List;
Priority determining unit, it is configured to according to the execution priority levels list to slave computer instructions match correspondence Execution priority.
CN201611199607.2A 2016-12-22 2016-12-22 A kind of interactive output intent and robot for robot Pending CN106845625A (en)

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CN107390537A (en) * 2017-07-26 2017-11-24 上海与德通讯技术有限公司 A kind for the treatment of method and apparatus based on multitask
CN107414828A (en) * 2017-07-26 2017-12-01 上海与德通讯技术有限公司 A kind of pure language processing method and device based on multitask
CN110450151A (en) * 2019-04-30 2019-11-15 北京云迹科技有限公司 The configuration method and device of customized behavior for robot
CN110928247A (en) * 2019-10-14 2020-03-27 梁剑 Control priority analysis system of artificial robot
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