Remote Agent: to boldy go where no AI system has gone before,
N.Muscettola, P. Nayak, B. Pell and B. Williams, Artificial Intelligence 103 (1998) 5-47.

 Robust hybrid control for autonomous vehicle motion planning,
E. Frazzoli, M. Dahleh and E. Feron. Working Paper LIDS-P-2468, Dec. 5th, 1999.

 Motion planning: a journey of robots, molecules, digital actors, and other artifacts. J. Latombe, Stanford University, Stanford, Ca 94035, USA, Working Paper, July 1, 1999.

 Path planning using lazy PRM,
R. Bohlin and L. Kavraki, to appear in ICRA 2000.

 Reinforcement learning: a survey,
L. Kaebling, M. Littman and A. Moore, Journal of Artificial Intelligence Research 4 (1996) 237-285.

 Planning and Acting in Partially Observable Stochastic Domains,
L. Kaebling, M. Littman and A. Cassandra, Elsevier (1998) 237-285.

 Model-based reasoning: troubleshooting
R. Davis and W. C. Hamscher, in H. E. Shrobe (Ed.) Exploiring Artificial Intelligence: Survey Talks from the National Conferences on Artificial Intelligence, 297-346, Morgan Kaufmann, San Mateo, CA, 1988.

 Diagnosing multiple faults
J. de Kleer and B. Williams, Artificial Intelligence 32 (1): 97-130, April 1987.

 A theory of diagnosis from first principles
R. Reiter, Artificial Intelligence 32 (1): 57-96, April 1987.

 Generating hard satisfiability problems.
B. Selman, D. Mitchell and H. Levesque, Artificial Intelligence 81, 17-29, 1996.

 Layered learning. P. Stone and M. Veloso.

 An introduction to least-commitment planning,
Daniel Weld. AI Magazine, 27--61, Winter 1994.

 Recent Advances in AI planning,
Daniel Weld. AI Magazine, 1999.

 Integrating planning and learning: The PRODIGY architecture.
Manuela Veloso et al. Journal of Experimental and Theoretical Artificial Intelligence, 7(1):81--120, 1995.

 Linkability: Examining causal link commitments in partial-order planning,
Manuela Veloso and Jim Blythe. Proceedings of the Second International Conference on AI Planning Systems, 170--175, June 1994.

 OBDD-based universal planning: Specifying and solving planning for synchronized agents in non-deterministic domains,
Rune Jensen and Manuela Veloso. Journal of Artificial Intelligence Research, 2000, to appear.

 Learning situation-dependent costs: Improving planning from probabilistic robot execution.
Karen Haigh and Manuela Veloso. Robotics and Autonomous Systems, 1999.

 An Investigation into Reactive Planning in Complex Domains.
James Firby. AAAI-87, 202--206

 Analogical replay for efficient conditional planning.
Jim Blythe and Manuela Veloso. Proceedings of AAAI-97, 668--673.

 The Task Control Architecture.
Reid Simmons

 Multiagent Systems: A survey from a machine learning perspective,
Peter Stone and Manuela Veloso. Autonomous Robots, 2000, to appear.

 The CMUnited-98 Champion Small Robot Team,
Manuela Veloso and Michael Bowling and Sorin Achim and Kwun Han and Peter Stone

 RoboCup-98: Robot Soccer World Cup II,
Asada and Kitano (eds.), Springer Verlag, 1999, 77--92

 Sensor Resetting Localization for Poorly Modelled Mobile Robots,
Scott Lenser and Manuela Veloso, ICRA-2000, to appear.