A three-layer hybrid architecture for planning in autonomous agents

The paper describes an architecture for autonomous agents that combines the advantages of both the classical hierarchical and the layered architectures. The aim is to build more 'intelligent' autonomous agents that are capable of planning for high level goals as well as having the ability to react and respond to arising situations in a human like manner.<<ETX>>

[1]  Alberto Elfes,et al.  A tesselated probabilistic representation for spatial robot perception and navigation , 1989 .

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

[3]  Rodney A. Brooks,et al.  Intelligence Without Reason , 1991, IJCAI.

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

[5]  Jean-Paul Laumond,et al.  Obstacle Growing in a Nonpolygonal World , 1987, Inf. Process. Lett..

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

[7]  Tomás Lozano-Pérez,et al.  Spatial Planning: A Configuration Space Approach , 1983, IEEE Transactions on Computers.

[8]  David Chapman,et al.  What are plans for? , 1990, Robotics Auton. Syst..

[9]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.