A new method for mobile robots to avoid collision with moving obstacle

Artificial Life and Robotics

Volumn 16, Issue 4, 2012, Pages 507-510

  Zhu, Yi ^a   Zhang, Tao ^a   Song, Jingyan ^a   Li, Xiaqin ^a   Nakamura, Masatoshi ^b  

^a TSINGHUA UNIVERSITY   (China)

^b SAGA UNIVERSITY   (Japan)

Author keywords

Mobile robots; Moving obstacles; Obstacle avoidance

Indexed keywords

DIRECTION OF MOTION; DYNAMIC POTENTIAL FIELD; MOVING OBSTACLES; VECTOR FIELD HISTOGRAMS;

COLLISION AVOIDANCE; ROBOTICS;

MOBILE ROBOTS;

EID: 84863148673     PISSN: 14335298     EISSN: 16147456     Source Type: Journal    
DOI: 10.1007/s10015-011-0975-z     Document Type: Article

References (10)

1. Borenstein J, Koren Y (1991) The vector field histogram: fast obstacle avoidance for mobile robots. IEEE J Robotics Autom 7(3): 278-288.
2. Simmons R (1996) The curvature-velocity method for local obstacle avoidance. IEEE International Conference on Robotics and Automation, pp. 3375-3382.
3. Fox D, Burgard W, Thrun S (1997) The dynamic window approach to collision avoidance. IEEE Robotics Autom Mag 4(1): 23-33.
4. Beaufrere B, Zeghloul S (1995) A mobile robot navigation method using a fuzzy logic approach. Robotica 13: 437-448.
5. Minguez J, Montano L (2004) Nearness diagram (ND) navigation: collision avoidance in troublesome scenarios. IEEE Trans Robotic Autom 20(1): 45-59.
6. Conn RA, Kam M (1998) Robot motion planning on N-dimensional star worlds among moving obstacles. IEEE Trans Robotic Autom 14(2): 320-325.
7. Ge SS, Cui YJ (2002) Dynamic motion planning for mobile robots using the potential field method. Auton Robots 13: 207-222.
8. Huang L (2009) Velocity planning for a mobile robot to track a moving target: a potential field approach. Robotics Auton Syst 57: 55-63.
9. Martinez-Gomez L, Fraichard T (2009) Collision avoidance in dynamic environments: an ICS-based solution and its comparative evaluation. IEEE International Conference on Robotics and Automation, pp 100-105.
10. Koren Y, Borenstein J (1991) Potential field methods and their inherent limitations for mobile robot navigation. IEEE International Conference on Robotics and Automation 2: 1398-1402.