Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Case-based reasoning
Collaborative plans for complex group action
Artificial Intelligence
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Artificial Intelligence - Special issue on Robocop: the first step
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Inside Case-Based Reasoning
Recognizing Probabilistic Opponent Movement Models
RoboCup 2001: Robot Soccer World Cup V
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
Strategy for Collaboration in Robot Soccer
DELTA '02 Proceedings of the The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02)
Action Selection Mechanism for Soccer Robot
CIRA '97 Proceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation
MSE '02 Proceedings of the Fourth IEEE International Symposium on Multimedia Software Engineering
A Fuzzy Mechanism for Action Selection of Soccer Robots
Journal of Intelligent and Robotic Systems
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Robotics and Autonomous Systems
Application of reinforcement learning in robot soccer
Engineering Applications of Artificial Intelligence
Executing multi-robot cases through a single coordinator
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Acquiring a robust case base for the robot soccer domain
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Recombinant rule selection in evolutionary algorithm for fuzzy path planner of robot soccer
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
A tactics for robot soccer with fuzzy logic mediator
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Retrieving and reusing game plays for robot soccer
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Improving Reinforcement Learning by Using Case Based Heuristics
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Anticipation as a strategy: a design paradigm for robotics
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Analysing the behaviour of robot teams through relational sequential pattern mining
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Investigation in transfer learning: better way to apply transfer learning between agents
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Using cases as heuristics in reinforcement learning: a transfer learning application
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Analysis of strategy in robot soccer game
Neurocomputing
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Designing coordinated robot behaviors in uncertain, dynamic, real-time, adversarial environments, such as in robot soccer, is very challenging. In this work we present a case-based reasoning approach for cooperative action selection, which relies on the storage, retrieval, and adaptation of example cases. We focus on cases of coordinated attacking passes between robots in the presence of the defending opponent robots. We present the case representation explicitly distinguishing between controllable and uncontrollable indexing features, corresponding to the positions of the team members and opponent robots, respectively. We use the symmetric properties of the domain to automatically augment the case library. We introduce a retrieval technique that weights the similarity of a situation in terms of the continuous ball positional features, the uncontrollable features, and the cost of moving the robots from the current situation to match the case controllable features. The case adaptation includes a best match between the positions of the robots in the past case and in the new situation. The robots are assigned an adapted position to which they move to maximize the match to the retrieved case. Case retrieval and reuse are achieved within the distributed team of robots through communication and sharing of own internal states and actions. We evaluate our approach, both in simulation and with real robots, in laboratory scenarios with two attacking robots versus two defending robots as well as versus a defender and a goalie. We show that we achieve the desired coordinated passing behavior, and also outperform a reactive action selection approach.