The stable and precise motion control for multiple mobile robots

Applied Soft Computing Journal

Volumn 9, Issue 2, 2009, Pages 477-487

  Parhi, Dayal Ramakrushna ^a   Pradhan, Saroj Kumar ^b   Panda, Anup Kumar ^a   Behera, Rabindra Kumar ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Mobile robots; Navigation; Neuro fuzzy; Obstacle avoidance; Rule based; Target seeking

Indexed keywords

CONTROL SYSTEMS; MOBILE ROBOTS; NAVIGATION; ROBOTS; TARGETS;

COOPERATIVE BEHAVIOUR; INTELLIGENT PATH PLANNING; MULTIPLE MOBILE ROBOTS; NAVIGATION PERFORMANCE; NEURO-FUZZY; OBSTACLE AVOIDANCE; RULE-BASED; TARGET SEEKING; UNKNO WN ENVIRONMENTS;

ROBOTICS;

EID: 58549097650     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2008.04.017     Document Type: Article

References (18)

1. Gürman N.T. The neural network model RuleNet and its application to mobile robot navigation. Fuzzy Sets and Systems 85 January (2) (1997) 287-303
2. Li W., Ma C., and Wahl F.M. A neuro-fuzzy system architecture for behavior-based control of a mobile robot in unknown environments. Fuzzy Sets and Systems 87 April (2) (1997) 133-140
3. Barfoot C.W., and Ibrahim M.Y. Development of an adaptive fuzzy behavioural control system with experimental and industrial applications. Computers and Industrial Engineering 34 September (4) (1998) 807-811
4. Jelena N. Neuro-fuzzy control of a mobile robot. Neurocomputing 28 October (1-3) (1999) 127-143
5. Acosta L., Marichal G.N., Moreno L., Méndez J.A., and Rodrigo J.J. Obstacle avoidance using the human operator experience for a mobile robot. Journal of Intelligent and Robotic Systems 27 April (4) (2000) 305-319
6. Marichal G.N., Acosta L., Moreno L., Mendez J.A., Rodrigo J.J., and Sigut M. Obstacle avoidance for a mobile robot: a neuro-fuzzy approach. Fuzzy Sets and Systems 124 December (2) (2001) 171-179
7. Althoefer K., Krekelberg B., Husmeier D., and Seneviratne L. Reinforcement learning in a rule-based navigator for robotic manipulators. Neurocomputing 37 April (1-4) (2001) 51-70
8. Nefti S., Oussalah M., Djouani K., and Pontnau J. Intelligent adaptive mobile robot navigation. Journal of Intelligent and Robotic Systems 30 April (4) (2001) 311-329
9. Tunstel E., Howard A., and Seraji H. Rule-based reasoning and neural network perception for safe off-road robot mobility. Expert Systems 19 September (4) (2002) 191-200
10. de Souza M.A.F., and Ferreira M.A.G.V. Designing reusable rule-based architectures with design patterns. Expert Systems with Applications 23 November (4) (2002) 395-403
11. Na Y.-K., and Oh S.-Y. Hybrid control for autonomous mobile robot navigation using neural network based behavior modules and environment classification. Autonomous Robots 15 September (2) (2003) 193-206 (14)
12. Dietrich J., Kozlenkov A., Schroeder M., and Wagner G. Rule-based agents for the semantic web. Electronic Commerce Research and Applications 2 Winter (4) (2003) 323-338
13. McIntosh B.S., Muetzelfeldt R.I., Legg C.J., Mazzoleni S., and Csontos P. Reasoning with direction and rate of change in vegetation state transition modelling. Environmental Modelling and Software 18 December (10) (2003) 915-927
14. Pradhan S.K., Parhi D.R., and Panda A.K. Fuzzy logic techniques for navigation of several mobile robots. Applied Soft Computing Journal 9 (2009) 290-304
15. Clementine Software, Version-5, 2000, http://www.spss.com/Clementine/.
16. Peterson J.L. Petri Net theory and the Modelling of Systems (1981), Prentice-Hall, Englewood Cliff, NJ
17. Pham D.T., and Parhi D.R. Navigation of Multiple Mobile Robots Using a Neural Network and a Petri Net Model, vol. 21 (2003), Robotica, UK pp. 79-93
18. Pradhan S.K., Parhi D.R., and Panda A.K. Fuzzy controllers for navigation of multiple mobile robots. Proceedings of the National Conference on Recent Developments in Mechanical Engineering. Taper Institute of Engineering and Technology, Patiala, India (2003) pp. 498-504