Glenn Wasson
- 1.Agro, EE,; and Chapman, D. 1987. Pengi: An Implementation of a Theory of Activity. AAAI-87: 268-272.Google Scholar
- 2.Aloimonos, J, 1988, Active Vision. International Journal of Computer Vision 1(4): 333-356.Google ScholarCross Ref
- 3.Ballard, D. H, 1991, Animate Vision. Artificial Intelligence 48 (i): 57-86. Google ScholarDigital Library
- 4.Brill, F,Z,, Wasson G,S,, Ferret, G.J. and Martin W.M. 1998, The Effective Field of View Paradigm: Adding Representation to a Reactive System. Engineering Applications of Artificial Intelligence issue on Machine Vision for httelligent Vehicles and Autonomous Robots. to appear.Google Scholar
- 5.Bonasso, R. P., Kortenkamp, D., Miller, D. P., and Slack, M. 1997. Experiences with an Architecture for intelligent, Reactive Agents. Journal of Experimental and Theoretical Artific~al Intelligence 9(2).Google Scholar
- 6.Brooks, R.A. 1986. A Robust Layered Control System for a Mobile Robot, IEEE Journal of Robotics and Automation, RA-2(1): 14-23.Google ScholarCross Ref
- 7.Elsaesser, C. and MacMillan, R. 1991. Representation and algorithms for multiagent adversarial planning. Technical Report MTR-91W000207, The MITRE corporation.Google Scholar
- 8.Firby, R.J. 1987. An Investigation into Reactive Planning in Complex Domains. AAAI-87: 202-206.Google Scholar
- 9.Firby, R.$. 1989. Adaptive Execution in Complex Worlds. Ph.D. Thesis. Yale University. Google ScholarDigital Library
- 10.Franklin, D., Kahn, R.E., Swain, M.J. and Firby, R.J. 1996. Happy Patrons Make Better Tippers: Creating a Robot Waiter Using Perseus and the Animate Agent Architecture. international Conference on Face and Gesture Recognition. Google ScholarDigital Library
- 11.Gat, E. 1992. Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots. AAAi-92: 809-815.Google Scholar
- 12.Huber, E. 1994. Object Tracking with Stereo Vision. AIAA/NASA Conference on Intelligent Robots in Factory, Service and Space (CIRFFSS '94).Google Scholar
- 13.Huber, E., and Kortenkamp, D. 1995. Using Stereo Vision to Pursue Moving Agents with a Mobile Robot. IEEE International Conference on Robotics and Automarion.Google Scholar
- 14.Marr, D. and Hildreth, E. 1980. Theory of Edge Detection. Proceedings of the Royal Society of London, vol. B207:187-217.Google Scholar
- 15.Olson, T.$. and Coombs, D.L 1991. Real-Time Vergence Control for Binocular Robots. International Journal of Computer Vision 7(1): 67-89. Google ScholarDigital Library
- 16.Simmons, R. 1994. Structured Control for Autonomous Robots. IEEE Transactions on Robotics and Automa. tion, 10 (1): 34-43.Google ScholarCross Ref
- 17.Slack, M.G. 1992. Sequencing Formally Defined Reactions for Robotic Activity: Integrating raps and gapps. SPIE Conference on Sensor Fusion.Google ScholarCross Ref
- 18.Uhlin, T., Nordlund, P., Maid, A., and Eklundh, $.O. 1995. Toward and Active Visual Observer. ICCV: 679-. 686. Google ScholarDigital Library
- 19.Wasson, G.S., Fetter, GJ. and Martin, W.N. 1997. Systems for Perception, Action and Effective Representation. FLAIRS-97 Track on ReabT~me Planning and Reacting. 352-356.Google Scholar
Index Terms
- Integrating active perception with an autonomous robot architecture
Recommendations
An active perception control architecture for autonomous robots
ICAI'06: Proceedings of the 7th WSEAS International Conference on Automation & InformationOperating environments for autonomous mobile robots are characterized by short-term and long-term changes or moving obstacles that make it very difficult for the robot to acquire and maintain an exact model of the world. For robots to operate ...
A mobile robot with autonomous climbing and descending of stairs
Mobile robots are used to operate in urban environments, for surveillance, reconnaissance, and inspection, as well as for military operations and in hazardous environments. Some are intended for exploration of only natural terrains, but others also for ...
Comments