A Survey on Case-Based Planning
Artificial Intelligence Review
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Matching Theory (North-Holland mathematics studies)
Matching Theory (North-Holland mathematics studies)
Coach planning with opponent models for distributed execution
Autonomous Agents and Multi-Agent Systems
Searching for close alternative plans
Autonomous Agents and Multi-Agent Systems
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
International Journal of Computer Vision
Retrieving and reusing game plays for robot soccer
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Queues and Artificial Potential Trenches for Multirobot Formations
IEEE Transactions on Robotics
Convex Optimization Strategies for Coordinating Large-Scale Robot Formations
IEEE Transactions on Robotics
Map-based navigation in mobile robots
Cognitive Systems Research
Efficient template-based path imitation by invariant feature mapping
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Multi Robot Learning by Demonstration
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spatial teamwork of robots in novel situations. The algorithm selects correspondences between previous and current spatial features by the application of pairwise constraints, and generates the transformation function with a fast regular grid approximation which minimizes distortion. The algorithm requires minimal domain knowledge, is capable of transforming the spatial aspects of collaborative team behavior and performs better in noisy problems with large displacements than the most generally used quadratic differences method. The algorithm can be utilized for rapid plan adaptation, plan generalization or team behavior imitation. Methods are demonstrated on a multi-robot control problem in a random environment.