Simulation of a human following robot with object avoidance function

Nattawat Pinrath; Nobuto Matsuhira

doi:10.1109/SEATUC.2018.8788864

Simulation of a human following robot with object avoidance function

Nattawat Pinrath, Nobuto Matsuhira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This study aims to propose an object avoidance algorithm for use in a human-following robot. The algorithm is tested in a well-known robot simulator called virtual robot experiment platform (V-REP), which includes built-in models for realistic sensors and robot platforms. This paper describes a basic path-planning algorithm for following a human target and then describes algorithms for obstacle avoidance and target reacquisition. Simulations are run for each situation that the human-following robot could encounter. Simulation results show that the algorithm is ready to be implemented in a physical robot prototype.

Original language	English
Title of host publication	Proceedings - 12th SEATUC Symposium, SEATUC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538650943
DOIs	https://doi.org/10.1109/SEATUC.2018.8788864
Publication status	Published - 2018 Mar 1
Event	12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia Duration: 2018 Mar 12 → 2018 Mar 13

Publication series

Name	Proceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference	12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
Country/Territory	Indonesia
City	Yogyakarta
Period	18/3/12 → 18/3/13

Keywords

Human-following robot
Obstacle avoidance
Path planning

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology
Industrial and Manufacturing Engineering
Control and Optimization

Access to Document

10.1109/SEATUC.2018.8788864

Cite this

Simulation of a human following robot with object avoidance function. / Pinrath, Nattawat; Matsuhira, Nobuto.

Proceedings - 12th SEATUC Symposium, SEATUC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8788864 (Proceedings - 12th SEATUC Symposium, SEATUC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pinrath, N & Matsuhira, N 2018, Simulation of a human following robot with object avoidance function. in Proceedings - 12th SEATUC Symposium, SEATUC 2018., 8788864, Proceedings - 12th SEATUC Symposium, SEATUC 2018, Institute of Electrical and Electronics Engineers Inc., 12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018, Yogyakarta, Indonesia, 18/3/12. https://doi.org/10.1109/SEATUC.2018.8788864

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abstract = "This study aims to propose an object avoidance algorithm for use in a human-following robot. The algorithm is tested in a well-known robot simulator called virtual robot experiment platform (V-REP), which includes built-in models for realistic sensors and robot platforms. This paper describes a basic path-planning algorithm for following a human target and then describes algorithms for obstacle avoidance and target reacquisition. Simulations are run for each situation that the human-following robot could encounter. Simulation results show that the algorithm is ready to be implemented in a physical robot prototype.",

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AB - This study aims to propose an object avoidance algorithm for use in a human-following robot. The algorithm is tested in a well-known robot simulator called virtual robot experiment platform (V-REP), which includes built-in models for realistic sensors and robot platforms. This paper describes a basic path-planning algorithm for following a human target and then describes algorithms for obstacle avoidance and target reacquisition. Simulations are run for each situation that the human-following robot could encounter. Simulation results show that the algorithm is ready to be implemented in a physical robot prototype.

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Simulation of a human following robot with object avoidance function

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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