Developing a service robot with communication abilities

Saito, Kiyoshi; Yasukawa, Yusuke; Murase, Yuichi; Kanda, Shigenobu; Sawasaki, Naoyuki

doi:10.1109/roman.2005.1513762

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…The office service robot is an intelligent robot, which includes voice communication feature in an application. A voice communication feature makes a mobile robot has a conversation ability [12,13,14,15].…”

Section: Mobile Robotmentioning

confidence: 99%

Telerobot Arm (TRA)

Pornpanomchai

Sukklay

2011

AMM

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The objective of this research is to operate a robot arm via the Internet network, which is called “Telerobot Arm or (TRA)”. The robot arm is connected with a server computer via a parallel port and it is controlled by a client computer via the Internet network by the webcam guidance. The server and client computers are located at different campuses with distance of around 20 kilometers. The whole robot arm is made of plastic. Therefore, it has some limitation to hold a heavy object. The experiments are conducted on three different tasks, which are 1) hold a small box and put it into a small basket, 2) push a bottle of water, and 3) hold a bottle of water. The experiments have given a very attractive result.

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Section: Mobile Robotmentioning

confidence: 99%

Telerobot Arm (TRA)

Pornpanomchai

Sukklay

2011

AMM

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“…The researchers performed the robot arm with specific tasks, for examples, to press the buttons, to rotate the knobs, to pick and place an object, and to draw the desired curve. Moreover, some researchers use a mobile robot to assist rescuers in discovering victims in a disaster environment and to do office service jobs by including voice communication features in a mobile robot [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Controlling a Robot Arm By A Computermentioning

confidence: 99%

Controlling a Robot Arm by Thai Voice Commands

Pornpanomchai

Sukklay

2011

AMM

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The objective of this research is to control a robot arm by using Thai voice commands. (CRATVC) The research was conducted by speaking a user’s voice commands to a computer, and then the computer system converted the voice commands into digital signal. Finally, a robot arm is operated based on the Thai voice digital signal. The experiment was conducted on the robot arm with six Thai voice commands, which were: 1) gripper opened, 2) gripper closed, 3) arm up, 4) arm down, 5) turn right, and 6) turn left. The experimental precisions are 91.67%, 89.17% and 65.83% in a quiet room, an office room and a noisy room, respectively.

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“…Without this infrastructure, these robots cannot enter/exit the elevator. The Fujitsu Service Robot [13] can detect the elevator call button and door using the stereo vision system mounted on the robot. Another mobile robot [14] was able to learn how to get on/off the elevator from a user, and it can get on/off the elevator by itself.…”

Section: Introductionmentioning

confidence: 99%

Recognition and path planning strategy for autonomous navigation in the elevator environment

Kang

Choi

et al. 2010

Int. J. Control Autom. Syst.

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This paper presents a robust and reliable method for a mobile robot to get on/off an elevator in a multistory building. Getting on/off the elevator requires the robot to perform two different tasks: a recognition task and a navigation task. First, we propose a recognition algorithm for the elevator buttons and status so that the robot reacts flexibly to the current elevator status. We first apply an adaptive threshold to the current image in order to get a binary image. Then we extract the candidates of the buttons and the floor number after preliminary filtering. Ambiguous candidates are rejected using an artificial neural network, and a matching method is applied to finally recognize the call buttons, destination floor buttons, moving direction and current location of the elevator. Second, we suggest a path planning algorithm to navigate into and out of the elevator without any collision. By constructing an occupancy grid map and computing a target function, we find the best position for the robot to get on the elevator. Then we plan an optimal path to the best position using a potential field method. Experiments were carried out in several simulated and real environments including empty, crowd and blocked scenarios. The approach presented here has been found to allow the robot to navigate in the elevator without collisions.

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Developing a service robot with communication abilities

Cited by 12 publications

References 2 publications

Telerobot Arm (TRA)

Telerobot Arm (TRA)

Controlling a Robot Arm by Thai Voice Commands

Recognition and path planning strategy for autonomous navigation in the elevator environment

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