Behavior-based Control: Examples from Navigation, Learning, and Group Behavior

This paper describes the main properties of behavior-based approaches to control. Diier-ent approaches to designing and using behaviors as basic units for control, representation, and learning are illustrated on three empirical examples of robots performing navigation and path-nding, group behaviors, and learning behavior selection.

[1]  J. W. Atkinson,et al.  On the dynamics of action. , 1970, Nederlands tijdschrift voor de psychologie en haar grensgebieden.

[2]  Christopher L. Claggett The investigation. , 1978, Hospital supervisor's bulletin.

[3]  Jean-Paul Laumond,et al.  Position referencing and consistent world modeling for mobile robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

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

[5]  Rodney A. Brooks,et al.  Asynchronous Distributed Control System For A Mobile Robot , 1987, Other Conferences.

[6]  Philip E. Agre,et al.  The dynamic structure of everyday life , 1988 .

[7]  David Chapman,et al.  Penguins Can Make Cake , 1989, AI Mag..

[8]  Ronald C. Arkin,et al.  Towards the Unification of Navigational Planning and Reactive Control , 1989 .

[9]  John E. Laird,et al.  Integrating, Execution, Planning, and Learning in Soar for External Environments , 1990, AAAI.

[10]  Pattie Maes,et al.  Designing autonomous agents: Theory and practice from biology to engineering and back , 1990, Robotics Auton. Syst..

[11]  Georges Giralt,et al.  An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots , 1990, Autonomous Robot Vehicles.

[12]  Maja J. Matarić,et al.  A Distributed Model for Mobile Robot Environment-Learning and Navigation , 1990 .

[13]  Rodney A. Brooks,et al.  Elephants don't play chess , 1990, Robotics Auton. Syst..

[14]  David W. Payton,et al.  Internalized plans: A representation for action resources , 1990, Robotics Auton. Syst..

[15]  Maja J. Matarić,et al.  Navigating with a rat brain: a neurobiologically-inspired model for robot spatial representation , 1991 .

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

[17]  Sridhar Mahadevan,et al.  Automatic Programming of Behavior-Based Robots Using Reinforcement Learning , 1991, Artif. Intell..

[18]  Jonathan H. Connell,et al.  SSS: a hybrid architecture applied to robot navigation , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[19]  L. Steels The Artiicial Life Roots of Artiicial Intelligence , 1993 .

[20]  Piero Mussio,et al.  Toward a Practice of Autonomous Systems , 1994 .

[21]  Luc Steels,et al.  The Artificial Life Roots of Artificial Intelligence , 1994, Artif. Life.

[22]  Maja J. Mataric,et al.  Reward Functions for Accelerated Learning , 1994, ICML.

[23]  Maja J. Mataric,et al.  Interaction and intelligent behavior , 1994 .

[24]  Maja J. Matarić,et al.  Learning to Cooperate using two Six-Legged Mobile Robots , 1995 .

[25]  B. Habibi,et al.  Pengi : An Implementation of A Theory of Activity , 1998 .