Experiments with a Behavior-Based Robot

Behavior based robot up lifted today’s science into a glorious position of progression. The essence of behavior based robotics is to develop robotic systems which can exhibit behaviors normally found in the nature. This paper is focused on a methodology to model the control architecture that optimizes the behavior rules using Subsumption architecture, the logical representation, the experimental result and the simulation result of the system. The results were very promising and the knowledge gathered will be used to develop an upgraded version of this system. This work concludes the significance of Subsumption Architecture and Hybrid Architecture for navigation of behavior-based autonomous robots.

[1]  V. Braitenberg Vehicles, Experiments in Synthetic Psychology , 1984 .

[2]  M. Matarić Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior , 1998, Trends in Cognitive Sciences.

[3]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[4]  Maja J. Mataric,et al.  Integration of representation into goal-driven behavior-based robots , 1992, IEEE Trans. Robotics Autom..

[5]  Russell J. Clark,et al.  Case-based reactive navigation: a method for on-line selection and adaptation of reactive robotic control parameters , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[6]  Hans P. Moravec,et al.  The Stanford Cart and the CMU Rover , 1983, Proceedings of the IEEE.

[7]  Terrance L. Huntsberger,et al.  Behavior-based multi-robot collaboration for autonomous construction tasks , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Rodney A. Brooks PLANNING IS JUST A WAY OF AVOIDING FIGURING OUT WHAT TO DO NEXT , 1987 .

[9]  Russell J. Clark,et al.  Case-Based Reactive Navigation: A Cased Based Method for On-Line Selection and Adaptation of Reactive Control Parameters in Autonomous Robotics Systems , 1992 .

[10]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[11]  Bruce A. Draper,et al.  A practical obstacle detection and avoidance system , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[12]  Peter Xiaoping Liu,et al.  An embedded fuzzy controller for a behavior-based mobile robot with guaranteed performance , 2004, IEEE Transactions on Fuzzy Systems.

[13]  Kian Hsiang Low,et al.  A hybrid mobile robot architecture with integrated planning and control , 2002, AAMAS '02.

[14]  R A Brooks,et al.  New Approaches to Robotics , 1991, Science.