JPH0683442A - Traveling robot - Google Patents

Traveling robot

Info

Publication number
JPH0683442A
JPH0683442A JP4237062A JP23706292A JPH0683442A JP H0683442 A JPH0683442 A JP H0683442A JP 4237062 A JP4237062 A JP 4237062A JP 23706292 A JP23706292 A JP 23706292A JP H0683442 A JPH0683442 A JP H0683442A
Authority
JP
Japan
Prior art keywords
obstacle
image
traveling
dimensional coordinate
light
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP4237062A
Other languages
Japanese (ja)
Inventor
Yoshinari Yamagami
嘉也 山上
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sanyo Electric Co Ltd
Original Assignee
Sanyo Electric Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sanyo Electric Co Ltd filed Critical Sanyo Electric Co Ltd
Priority to JP4237062A priority Critical patent/JPH0683442A/en
Publication of JPH0683442A publication Critical patent/JPH0683442A/en
Pending legal-status Critical Current

Links

Landscapes

  • Manipulator (AREA)
  • Image Processing (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
  • Image Analysis (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

PURPOSE:To provide the traveling robot which detects an obstacle by a light cutting method by improving the precision of the obstacle detection and speeding up processing. CONSTITUTION:This robot has a light emitting means 4 which irradiates an obstacle in the traveling direction of the robot with a slit-shaped visible light beam, an image pickup means 5 which is arranged at a specific distance from the light emitting means 4 and picks up an image of the obstacle surface, an image memory 22 which stores an image signal from the image pickup means 5, and a three-dimensional coordinate calculating means 24 which calculates three-dimensional coordinate data on the light cutting line of the visible light beam formed on the obstacle surface based on image signals, stored in the image memory 22, at the time of the irradiation with the visible light beam and nonirradiation. Further, the traveling robot is equipped with an obstacle information storage part 25 which stores the three-dimensional coordinate data and a travel control part 26 which controls the traveling of the traveling robot based on the three-dimensional coordinate data stored in the obstacle information storage part 25.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は走行ロボットに関するも
のであり、さらに詳しくは、移動および障害物検知が可
能な掃除ロボット、サービスロボットなどの走行ロボッ
トに関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a traveling robot, and more particularly to a traveling robot such as a cleaning robot and a service robot capable of moving and detecting obstacles.

【0002】[0002]

【従来の技術】従来、移動および障害物検知が可能な走
行ロボットとして、測距用超音波センサを備えたものが
知られている。このような走行ロボットでは、超音波セ
ンサ1個の測定範囲が狭いため、複数個の超音波センサ
を用いて、走行領域内にある障害物までの距離を測定し
ている。
2. Description of the Related Art Conventionally, as a traveling robot capable of moving and detecting an obstacle, one having an ultrasonic sensor for distance measurement is known. In such a traveling robot, since the measurement range of one ultrasonic sensor is narrow, a plurality of ultrasonic sensors are used to measure the distance to the obstacle in the traveling area.

【0003】一方、最近では光切断法による3次元座標
測定方法が提案されている。この方法は、被測定物にレ
ーザー光などのスリット光を照射した時に、被測定物上
にできる光切断線を、スリット光の照射方向と異なる方
向からCCDカメラで観察し、得られた画像信号に基づ
いて被測定物の3次元座標を算出するものである。
On the other hand, recently, a three-dimensional coordinate measuring method based on the light cutting method has been proposed. In this method, when the measured object is irradiated with slit light such as laser light, the light cutting line formed on the measured object is observed with a CCD camera from a direction different from the irradiation direction of the slit light, and the obtained image signal is obtained. The three-dimensional coordinates of the object to be measured are calculated based on.

【0004】[0004]

【発明が解決しようとする課題】しかしながら、上記超
音波センサを複数個を用いる走行ロボットでは、それぞ
れのセンサから発信された超音波が互いに干渉したり、
1個の超音波センサから直接他の超音波センサに超音波
が伝搬したりすることにより、正しく測距されない場合
があった。
However, in a traveling robot using a plurality of ultrasonic sensors, ultrasonic waves emitted from the respective sensors interfere with each other,
In some cases, the distance may not be measured correctly because the ultrasonic wave propagates directly from one ultrasonic sensor to another ultrasonic sensor.

【0005】また、上記光切断法による測定方法を走行
ロボットの障害物検知に用いる場合、障害物の3次元座
標を特定するために、CCDカメラから得られた画像信
号を処理して、スリット光照射による光切断線を抽出す
るプロセスが不可欠であり、この処理において背景画像
を光切断線と誤検出する虞れがあった。
Further, when the measuring method by the light section method is used for detecting an obstacle of a traveling robot, an image signal obtained from a CCD camera is processed to identify a three-dimensional coordinate of the obstacle and slit light is used. The process of extracting the light section line due to irradiation is indispensable, and there is a possibility that the background image may be erroneously detected as the light section line in this process.

【0006】本発明は、斯かる点に鑑みてなされたもの
であって、光源からのスリット光をCCDカメラなどの
撮像手段で観察し、光切断法により障害物検知を行う走
行ロボットにおいて、障害物検知の精度向上、及び処理
の高速化を実現した走行ロボットを提供することを目的
とする。
The present invention has been made in view of the above-mentioned problems, and in a traveling robot which observes slit light from a light source with an image pickup means such as a CCD camera and detects an obstacle by a light section method, the obstacle is detected. An object of the present invention is to provide a traveling robot that realizes improved accuracy of object detection and faster processing.

【0007】[0007]

【課題を解決するための手段】本発明は、走行ロボット
の進行方向にある障害物に対し、スリット形状の可視光
線を照射する発光手段と、該発光手段から一定距離隔て
て配設され、前記障害物表面を撮像する撮像手段と、該
撮像手段からの画像信号を記憶する画像メモリと、該画
像メモリに記憶されている前記可視光線の照射時、及び
非照射時における画像信号に基づいて前記障害物表面に
形成された前記可視光線による光切断線の3次元座標デ
ータを算出する3次元座標算出手段と、該3次元座標デ
ータを記憶する障害物情報記憶部と、該障害物情報記憶
部に記憶されている3次元座標データに基づいて前記走
行ロボットの走行を制御する走行制御部とを備えた走行
ロボットである。
According to the present invention, there is provided a light emitting means for irradiating an obstacle in the traveling direction of a traveling robot with a slit-shaped visible ray, and a light emitting means arranged at a constant distance from the light emitting means. An image pickup means for picking up an image of the surface of an obstacle, an image memory for storing an image signal from the image pickup means, and the image signal stored in the image memory based on the image signal when the visible light is irradiated and when the visible light is not irradiated. Three-dimensional coordinate calculation means for calculating three-dimensional coordinate data of a light cutting line formed by the visible light formed on the surface of an obstacle, an obstacle information storage section for storing the three-dimensional coordinate data, and the obstacle information storage section. And a traveling control unit for controlling traveling of the traveling robot based on the three-dimensional coordinate data stored in the traveling robot.

【0008】[0008]

【作用】本発明によれば、スリット形状の可視光線の照
射時、及び非照射時における画像信号に基づいて障害物
表面に形成された可視光線による光切断線するので、光
切断線を背景画像と誤検出することなく、正確に抽出す
ることができる。
According to the present invention, the light cutting line is formed by the visible light formed on the obstacle surface based on the image signal when the slit-shaped visible light is irradiated and when the slit-shaped visible light is not irradiated. It can be accurately extracted without erroneously detecting.

【0009】[0009]

【実施例】以下、本発明の走行ロボットをその一実施例
を示す図面に基づいて説明する。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A traveling robot of the present invention will be described below with reference to the drawings showing an embodiment thereof.

【0010】図1は本発明の走行ロボットとしての掃除
ロボットを示す概略構成図である。同図において、1は
走行ロボットとしての掃除ロボットであり、これは夜間
に無人で会議室のような室内を掃除する。2は掃除ロボ
ット1に取り付けられた作業機構であり、床面の清掃を
行う。3は掃除ロボット1の下部に取りつけられた車輪
であって、モータ(図示せず)により駆動され掃除ロボ
ット1を任意の経路上で自走させる。車輪3と同軸上に
は、床面に接触して移動距離を測定するロータリエンコ
ーダ(図示せず)が装備されている。4は掃除ロボット
1の走行方向前部に取り付けられた発光手段で、スリッ
ト状のレーザー光を掃除ロボット1の進行方向の前方に
照射するレーザー装置である。5はレーザー装置4の近
傍に一定距離隔てて配設され、レーザー装置4からのス
リット光の照射により障害物6、壁面7などの障害物表
面にできる光切断線を含む観察画像を撮像する撮像手段
としてのCCDカメラである。
FIG. 1 is a schematic configuration diagram showing a cleaning robot as a traveling robot of the present invention. In the figure, reference numeral 1 is a cleaning robot as a traveling robot, which cleans a room such as a conference room unattended at night. A work mechanism 2 is attached to the cleaning robot 1 and cleans the floor surface. Reference numeral 3 denotes a wheel attached to the lower portion of the cleaning robot 1, which is driven by a motor (not shown) to allow the cleaning robot 1 to run on an arbitrary path. A rotary encoder (not shown) that is in contact with the floor and measures the moving distance is provided coaxially with the wheel 3. Reference numeral 4 denotes a light emitting means attached to the front part of the cleaning robot 1 in the traveling direction, and is a laser device for irradiating the slit-shaped laser light forward in the traveling direction of the cleaning robot 1. An image pickup device 5 is arranged in the vicinity of the laser device 4 with a certain distance and captures an observation image including a light cutting line formed on the surface of an obstacle such as an obstacle 6 and a wall surface 7 by irradiation of slit light from the laser device 4. It is a CCD camera as a means.

【0011】尚、本実施例では、出力5mWのレーザー
装置4を、床面8から約1mの位置に取り付け、水平面
に対し下方20度の方向にレーザー光のスリット光を照
射している。また、CCDカメラ5はその視野中心が水
平面に対し下方25度の方向となるように取り付けら
れ、掃除ロボット1の走行方向前方の1〜3mの範囲の
室内画像を撮像している。
In this embodiment, the laser device 4 having an output of 5 mW is attached at a position of about 1 m from the floor surface 8 and the slit light of the laser light is emitted in the direction of 20 degrees downward with respect to the horizontal plane. The CCD camera 5 is attached such that the center of its field of view is at a direction of 25 degrees downward with respect to the horizontal plane, and captures an indoor image in the range of 1 to 3 m in front of the cleaning robot 1 in the traveling direction.

【0012】次に、この掃除ロボット1の制御回路の構
成について、図2のブロック図により説明する。
Next, the configuration of the control circuit of the cleaning robot 1 will be described with reference to the block diagram of FIG.

【0013】図2において、レーザー装置4には発光制
御部21が接続され、その発光制御部21からの指令に
基づいて、スリット光を掃除ロボット1の進行方向前方
にストロボ的に照射する。また、CCDカメラ5には画
像メモリ22が接続され、CPU(マイクロコンピュー
タ)23の指令に基づいてCCDカメラ5により撮像し
た観察画像の画像信号を記憶する。
In FIG. 2, a light emission control unit 21 is connected to the laser device 4, and based on a command from the light emission control unit 21, the slit light is strobed forward in the traveling direction of the cleaning robot 1. An image memory 22 is connected to the CCD camera 5 and stores an image signal of an observation image taken by the CCD camera 5 based on a command from a CPU (microcomputer) 23.

【0014】24は、CPU23に接続された3次元座
標算出手段であり、後述するように画像メモリ22に記
憶されたスリット光の照射時、及び非照射時における画
像信号に基づいて、障害物6などの表面に形成されたス
リット光による光切断線の3次元座標データを算出す
る。
Reference numeral 24 is a three-dimensional coordinate calculating means connected to the CPU 23, and as will be described later, the obstacle 6 is stored based on the image signals stored in the image memory 22 when the slit light is irradiated and when the slit light is not irradiated. The three-dimensional coordinate data of the light cutting line formed by the slit light formed on the surface such as is calculated.

【0015】また、CPU23には、3次元座標算出手
段24にて求められた3次元座標データを記憶する障害
物情報記憶部25と、その障害物情報記憶部25に記憶
されている3次元座標データに基づいて掃除ロボット1
の走行を制御する走行制御部26が接続されている。
The CPU 23 also stores an obstacle information storage unit 25 for storing the three-dimensional coordinate data obtained by the three-dimensional coordinate calculation unit 24, and the three-dimensional coordinates stored in the obstacle information storage unit 25. Cleaning robot 1 based on data
A travel control unit 26 that controls the travel of the vehicle is connected.

【0016】次に、本発明の掃除ロボット1の動作につ
いて、図3のフローチャートにより説明する。
Next, the operation of the cleaning robot 1 of the present invention will be described with reference to the flowchart of FIG.

【0017】まず、レーザー装置4を1/30秒間オン
させて、スリット光をストロボ的に照射する(S1)。
そして、その時のCCDカメラ5による観察画像の画像
信号を画像メモリ22に格納し(S3)、レーザー装置
4をオフする(S5)。この時のCCDカメラ5による
観察画像を図4に示す。ここで、41はレーザー装置4
からのスリット光の照射により、障害物6、及び壁面7
上にできる光切断線である。つまり、ステップS3にお
いて、この観察画像の画像信号が画像メモリ22に格納
されている。
First, the laser device 4 is turned on for 1/30 seconds, and slit light is strobed (S1).
Then, the image signal of the image observed by the CCD camera 5 at that time is stored in the image memory 22 (S3), and the laser device 4 is turned off (S5). An image observed by the CCD camera 5 at this time is shown in FIG. Here, 41 is the laser device 4
By irradiating the slit light from the obstacle 6, the obstacle 6 and the wall surface 7
It is a light cutting line that can be made above. That is, in step S3, the image signal of the observed image is stored in the image memory 22.

【0018】次に、レーザー装置4がオフ状態時のCC
Dカメラ5による観察画像の画像信号を画像メモリ22
に格納し(S7)、次のステップS9に進む。
Next, CC when the laser device 4 is off
The image signal of the image observed by the D camera 5 is stored in the image memory 22.
(S7) and the process proceeds to the next step S9.

【0019】ステップS9では、ステップS3、及びS
7において画像メモリ22に格納された、レーザー装置
4のオン状態、及びオフ状態時の観察画像の画像信号を
3次元座標算出手段24に供給する。
In step S9, steps S3 and S
In FIG. 7, the image signal of the observation image when the laser device 4 is in the on state and the off state, which is stored in the image memory 22, is supplied to the three-dimensional coordinate calculating means 24.

【0020】そして、3次元座標算出手段24では、レ
ーザー装置4のオン状態、及びオフ状態時の観察画像の
画像信号差を求め(S11)、得られた画像信号差の2
値化処理を行う(S13)。これにより、光切断線41
の画像信号のみが抽出される。
Then, the three-dimensional coordinate calculating means 24 obtains the image signal difference of the observed image when the laser device 4 is in the on state and the off state (S11), and the obtained image signal difference is 2
A value conversion process is performed (S13). As a result, the light cutting line 41
Only the image signal of is extracted.

【0021】次に、その2値化データに基づいて光切断
線41の3次元座標データを算出する(S15)。具体
的には、ステップS11において抽出された光切断線4
1の各画素の位置、及びCPU23に接続されているR
AM(図示せず)に予め格納されているカメラパラメー
タから光切断線41の各画素の撮像角度を算出し、その
各画素の撮像角度、及びレーザー装置4のスリット光照
射角度から3角測量の原理に基づいて光切断線41の各
画素に対する3次元座標データを算出している。尚、カ
メラパラメータとして、CCDカメラ5の視野中心角
度、焦点距離、及びレーザー装置4との距離が前記RA
Mに格納されている。
Next, the three-dimensional coordinate data of the light cutting line 41 is calculated based on the binarized data (S15). Specifically, the light cutting line 4 extracted in step S11
The position of each pixel of 1 and R connected to the CPU 23
The imaging angle of each pixel of the light cutting line 41 is calculated from the camera parameters stored in advance in AM (not shown), and the triangulation is performed from the imaging angle of each pixel and the slit light irradiation angle of the laser device 4. Based on the principle, the three-dimensional coordinate data for each pixel of the light cutting line 41 is calculated. As camera parameters, the center angle of the field of view of the CCD camera 5, the focal length, and the distance to the laser device 4 are the RA values.
It is stored in M.

【0022】そして、ステップS15において算出され
た光切断線41の各画素に対する3次元座標データを障
害物情報記憶部25に格納し(S17)、次のステップ
S19に進む。
Then, the three-dimensional coordinate data for each pixel of the light cutting line 41 calculated in step S15 is stored in the obstacle information storage section 25 (S17), and the process proceeds to the next step S19.

【0023】ステップS19では、障害物情報記憶部2
5に格納されている3次元座標データを走行制御部26
に供給し、そのデータに基づいて掃除ロボット1の走行
を制御している。
In step S19, the obstacle information storage unit 2
The three-dimensional coordinate data stored in FIG.
And the traveling of the cleaning robot 1 is controlled based on the data.

【0024】そして、ステップS21において、掃除作
業を終了したかどうか判断し、未終了の場合には、ステ
ップS23に進み、1秒間カウント動作を行った後、ス
テップS1に戻る。また、掃除作業を終了した場合に
は、掃除動作を終了する。
Then, in step S21, it is judged whether or not the cleaning work has been completed. If the cleaning work is not completed, the process proceeds to step S23, the counting operation is performed for 1 second, and then the process returns to step S1. When the cleaning work is finished, the cleaning operation is finished.

【0025】以上のように、上記実施例では、発光手段
であるレーザー装置をストロボ発光させ、スリット光の
照射を行わせたので、誤ってレーザー光が人の目に長時
間入ることがなく、目の機能障害を起こすのを防止する
ことができる。
As described above, in the above embodiment, since the laser device as the light emitting means is made to emit the strobe light and the slit light is irradiated, the laser light does not accidentally enter the human eye for a long time. It is possible to prevent functional disorders of the eyes.

【0026】尚、上記実施例では、掃除動作の開始と共
にレーザー装置4をオンさせる場合について説明した
が、レーザー装置4のオンに先立ち、CCDカメラ5に
より観察領域内に人が存在していないか検出し、人の存
在がない場合にレーザー装置4をオンさせるようにして
も構わない。これにより、レーザー光が人の目に直接入
ることなく、安全性を図ることができる。
In the above embodiment, the case where the laser device 4 is turned on at the same time when the cleaning operation is started has been described. However, before turning on the laser device 4, is there any person in the observation area by the CCD camera 5? The laser device 4 may be turned on when it is detected and no person is present. As a result, safety can be achieved without the laser light directly entering the eyes of humans.

【0027】[0027]

【発明の効果】以上述べた通り本発明によれば、スリッ
ト形状の可視光線の照射時、及び非照射時における画像
信号に基づいて障害物表面に形成された可視光線による
光切断線するので、光切断線を背景画像と誤検出するこ
となく、正確に抽出することができる。
As described above, according to the present invention, the light cutting line by the visible light formed on the obstacle surface is generated based on the image signal when the slit-shaped visible light is irradiated and when it is not irradiated. It is possible to accurately extract the light section line without erroneously detecting the background image.

【0028】従って、光切断法による障害物検知の精度
向上、及び処理の高速化を実現した走行ロボットを提供
することができる。
Therefore, it is possible to provide a traveling robot which realizes improvement in accuracy of obstacle detection by the optical cutting method and speeding up of processing.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の走行ロボットとしての掃除ロボットを
示す概略構成図である。
FIG. 1 is a schematic configuration diagram showing a cleaning robot as a traveling robot of the present invention.

【図2】本発明の走行ロボットの制御回路のブロック図
である。
FIG. 2 is a block diagram of a control circuit of the traveling robot of the present invention.

【図3】本発明の走行ロボットの動作を説明するための
フローチャートである。
FIG. 3 is a flow chart for explaining the operation of the traveling robot of the present invention.

【図4】CCDカメラ5による観察画像の正面図であ
る。
FIG. 4 is a front view of an image observed by the CCD camera 5.

【符号の説明】 1 掃除ロボット(走行ロボット) 2 作業機構 3 車輪 4 レーザー装置(発光手段) 5 CCDカメラ(撮像手段) 6 障害物 7 壁面 8 床面 21 発光制御部 22 画像メモリ 23 CPU 24 3次元座標算出手段 25 障害物情報記憶部 26 走行制御部 41 光切断線[Explanation of Codes] 1 Cleaning Robot (Running Robot) 2 Working Mechanism 3 Wheels 4 Laser Device (Light Emitting Means) 5 CCD Camera (Imaging Means) 6 Obstacle 7 Wall Surface 8 Floor 21 Light Emission Control Section 22 Image Memory 23 CPU 24 3 Dimensional coordinate calculation means 25 Obstacle information storage unit 26 Travel control unit 41 Optical cutting line

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】移動および障害物検知が可能な走行ロボッ
トにおいて、 該走行ロボットの進行方向にある障害物に対し、スリッ
ト形状の可視光線を照射する発光手段と、該発光手段か
ら一定距離隔てて配設され、前記障害物表面を撮像する
撮像手段と、該撮像手段からの画像信号を記憶する画像
メモリと、該画像メモリに記憶されている前記可視光線
の照射時、及び非照射時における画像信号に基づいて前
記障害物表面に形成された前記可視光線による光切断線
の3次元座標データを算出する3次元座標算出手段と、
該3次元座標データを記憶する障害物情報記憶部と、該
障害物情報記憶部に記憶されている3次元座標データに
基づいて前記走行ロボットの走行を制御する走行制御部
と、を備えていることを特徴とする走行ロボット。
1. A traveling robot capable of moving and detecting an obstacle, wherein a light emitting means for irradiating an obstacle in the traveling direction of the traveling robot with a slit-shaped visible ray and a light emitting means at a predetermined distance from the light emitting means. An image pickup unit that is arranged to pick up the surface of the obstacle, an image memory that stores an image signal from the image pickup unit, and an image of the visible light stored in the image memory when the visible light is irradiated and when the visible light is not irradiated. Three-dimensional coordinate calculation means for calculating three-dimensional coordinate data of a light cutting line formed by the visible light on the surface of the obstacle based on a signal;
An obstacle information storage unit that stores the three-dimensional coordinate data, and a traveling control unit that controls traveling of the traveling robot based on the three-dimensional coordinate data stored in the obstacle information storage unit are provided. A traveling robot characterized by that.
JP4237062A 1992-09-04 1992-09-04 Traveling robot Pending JPH0683442A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP4237062A JPH0683442A (en) 1992-09-04 1992-09-04 Traveling robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP4237062A JPH0683442A (en) 1992-09-04 1992-09-04 Traveling robot

Publications (1)

Publication Number Publication Date
JPH0683442A true JPH0683442A (en) 1994-03-25

Family

ID=17009859

Family Applications (1)

Application Number Title Priority Date Filing Date
JP4237062A Pending JPH0683442A (en) 1992-09-04 1992-09-04 Traveling robot

Country Status (1)

Country Link
JP (1) JPH0683442A (en)

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100629864B1 (en) * 2002-09-12 2006-09-29 엘지전자 주식회사 Robot and his destination appointment method
JP2007309921A (en) * 2006-05-17 2007-11-29 Samsung Electronics Co Ltd Object detection method using structural light, and robot using it
KR101351714B1 (en) * 2009-10-21 2014-01-16 미쓰비시덴키 가부시키가이샤 Method for decoding a bitstream
JP2017502371A (en) * 2013-12-19 2017-01-19 アクチエボラゲット エレクトロルックス Prioritizing cleaning areas
US9811089B2 (en) 2013-12-19 2017-11-07 Aktiebolaget Electrolux Robotic cleaning device with perimeter recording function
US9939529B2 (en) 2012-08-27 2018-04-10 Aktiebolaget Electrolux Robot positioning system
US10045675B2 (en) 2013-12-19 2018-08-14 Aktiebolaget Electrolux Robotic vacuum cleaner with side brush moving in spiral pattern
US10149589B2 (en) 2013-12-19 2018-12-11 Aktiebolaget Electrolux Sensing climb of obstacle of a robotic cleaning device
US10209080B2 (en) 2013-12-19 2019-02-19 Aktiebolaget Electrolux Robotic cleaning device
US10219665B2 (en) 2013-04-15 2019-03-05 Aktiebolaget Electrolux Robotic vacuum cleaner with protruding sidebrush
US10231591B2 (en) 2013-12-20 2019-03-19 Aktiebolaget Electrolux Dust container
US10433697B2 (en) 2013-12-19 2019-10-08 Aktiebolaget Electrolux Adaptive speed control of rotating side brush
US10448794B2 (en) 2013-04-15 2019-10-22 Aktiebolaget Electrolux Robotic vacuum cleaner
US10499778B2 (en) 2014-09-08 2019-12-10 Aktiebolaget Electrolux Robotic vacuum cleaner
US10518416B2 (en) 2014-07-10 2019-12-31 Aktiebolaget Electrolux Method for detecting a measurement error in a robotic cleaning device
US10534367B2 (en) 2014-12-16 2020-01-14 Aktiebolaget Electrolux Experience-based roadmap for a robotic cleaning device
US10617271B2 (en) 2013-12-19 2020-04-14 Aktiebolaget Electrolux Robotic cleaning device and method for landmark recognition
US10729297B2 (en) 2014-09-08 2020-08-04 Aktiebolaget Electrolux Robotic vacuum cleaner
US10877484B2 (en) 2014-12-10 2020-12-29 Aktiebolaget Electrolux Using laser sensor for floor type detection
US10874271B2 (en) 2014-12-12 2020-12-29 Aktiebolaget Electrolux Side brush and robotic cleaner
US10874274B2 (en) 2015-09-03 2020-12-29 Aktiebolaget Electrolux System of robotic cleaning devices
US11099554B2 (en) 2015-04-17 2021-08-24 Aktiebolaget Electrolux Robotic cleaning device and a method of controlling the robotic cleaning device
US11122953B2 (en) 2016-05-11 2021-09-21 Aktiebolaget Electrolux Robotic cleaning device
US11169533B2 (en) 2016-03-15 2021-11-09 Aktiebolaget Electrolux Robotic cleaning device and a method at the robotic cleaning device of performing cliff detection
US11474533B2 (en) 2017-06-02 2022-10-18 Aktiebolaget Electrolux Method of detecting a difference in level of a surface in front of a robotic cleaning device
JP2022546289A (en) * 2019-08-21 2022-11-04 追▲べき▼創新科技(蘇州)有限公司 CLEANING ROBOT AND AUTOMATIC CONTROL METHOD FOR CLEANING ROBOT
US11921517B2 (en) 2017-09-26 2024-03-05 Aktiebolaget Electrolux Controlling movement of a robotic cleaning device

Cited By (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100629864B1 (en) * 2002-09-12 2006-09-29 엘지전자 주식회사 Robot and his destination appointment method
JP2007309921A (en) * 2006-05-17 2007-11-29 Samsung Electronics Co Ltd Object detection method using structural light, and robot using it
JP4646942B2 (en) * 2006-05-17 2011-03-09 三星電子株式会社 Object detection method using structured light and robot using the same
KR101351714B1 (en) * 2009-10-21 2014-01-16 미쓰비시덴키 가부시키가이샤 Method for decoding a bitstream
US9939529B2 (en) 2012-08-27 2018-04-10 Aktiebolaget Electrolux Robot positioning system
US10448794B2 (en) 2013-04-15 2019-10-22 Aktiebolaget Electrolux Robotic vacuum cleaner
US10219665B2 (en) 2013-04-15 2019-03-05 Aktiebolaget Electrolux Robotic vacuum cleaner with protruding sidebrush
US9946263B2 (en) 2013-12-19 2018-04-17 Aktiebolaget Electrolux Prioritizing cleaning areas
US10617271B2 (en) 2013-12-19 2020-04-14 Aktiebolaget Electrolux Robotic cleaning device and method for landmark recognition
US10149589B2 (en) 2013-12-19 2018-12-11 Aktiebolaget Electrolux Sensing climb of obstacle of a robotic cleaning device
US10209080B2 (en) 2013-12-19 2019-02-19 Aktiebolaget Electrolux Robotic cleaning device
US9811089B2 (en) 2013-12-19 2017-11-07 Aktiebolaget Electrolux Robotic cleaning device with perimeter recording function
US10045675B2 (en) 2013-12-19 2018-08-14 Aktiebolaget Electrolux Robotic vacuum cleaner with side brush moving in spiral pattern
US10433697B2 (en) 2013-12-19 2019-10-08 Aktiebolaget Electrolux Adaptive speed control of rotating side brush
JP2017502371A (en) * 2013-12-19 2017-01-19 アクチエボラゲット エレクトロルックス Prioritizing cleaning areas
US10231591B2 (en) 2013-12-20 2019-03-19 Aktiebolaget Electrolux Dust container
US10518416B2 (en) 2014-07-10 2019-12-31 Aktiebolaget Electrolux Method for detecting a measurement error in a robotic cleaning device
US10499778B2 (en) 2014-09-08 2019-12-10 Aktiebolaget Electrolux Robotic vacuum cleaner
US10729297B2 (en) 2014-09-08 2020-08-04 Aktiebolaget Electrolux Robotic vacuum cleaner
US10877484B2 (en) 2014-12-10 2020-12-29 Aktiebolaget Electrolux Using laser sensor for floor type detection
US10874271B2 (en) 2014-12-12 2020-12-29 Aktiebolaget Electrolux Side brush and robotic cleaner
US10534367B2 (en) 2014-12-16 2020-01-14 Aktiebolaget Electrolux Experience-based roadmap for a robotic cleaning device
US11099554B2 (en) 2015-04-17 2021-08-24 Aktiebolaget Electrolux Robotic cleaning device and a method of controlling the robotic cleaning device
US10874274B2 (en) 2015-09-03 2020-12-29 Aktiebolaget Electrolux System of robotic cleaning devices
US11712142B2 (en) 2015-09-03 2023-08-01 Aktiebolaget Electrolux System of robotic cleaning devices
US11169533B2 (en) 2016-03-15 2021-11-09 Aktiebolaget Electrolux Robotic cleaning device and a method at the robotic cleaning device of performing cliff detection
US11122953B2 (en) 2016-05-11 2021-09-21 Aktiebolaget Electrolux Robotic cleaning device
US11474533B2 (en) 2017-06-02 2022-10-18 Aktiebolaget Electrolux Method of detecting a difference in level of a surface in front of a robotic cleaning device
US11921517B2 (en) 2017-09-26 2024-03-05 Aktiebolaget Electrolux Controlling movement of a robotic cleaning device
JP2022546289A (en) * 2019-08-21 2022-11-04 追▲べき▼創新科技(蘇州)有限公司 CLEANING ROBOT AND AUTOMATIC CONTROL METHOD FOR CLEANING ROBOT

Similar Documents

Publication Publication Date Title
JPH0683442A (en) Traveling robot
KR102001422B1 (en) Electrical vacuum cleaner
JP2646146B2 (en) Inter-vehicle distance control device
US6483536B2 (en) Distance measuring apparatus and method employing two image taking devices having different measurement accuracy
JP2501010B2 (en) Mobile robot guidance device
KR101542498B1 (en) Robot cleaner and method for detecting position thereof
CN110031002B (en) Method and system for detecting obstacle and sensor subsystem thereof
JP2005211364A (en) Self-propelled cleaner
JP2002182742A (en) Mobile robot and its route correcting method
CN207529226U (en) A kind of mobile robot
KR102176376B1 (en) Apparatus and method for measuring distance of object
JP2002139304A (en) Distance measuring device and distance measuring method
KR100809342B1 (en) Apparatus and method for navigation based on intensity of illumination
KR100825919B1 (en) Distance measurement sensor, moving robot having the distance measurement sensor and driving method for moving robot using the moving robot
US20240159901A1 (en) Optical sensing system
JP2019145039A (en) Self-traveling robot and self-traveling robot control method
JP6811661B2 (en) Mobile imager and mobile
CN110088701B (en) Operating method for a self-propelled cleaning device and such a cleaning device
JPH1144533A (en) Preceding vehicle detector
KR20220146617A (en) Method and apparatus for detecting blooming in lidar measurements
KR20080090367A (en) Moving robot and operating method for same
JP2015019689A (en) Obstacle detection device and detection method thereof
JP7002791B2 (en) Information processing equipment and mobile robots
JPH1166493A (en) Automatic parking system
JP4059948B2 (en) Automatic tracking device for position measurement plotter