Time-varying feedback stabilization of car-like wheeled mobile robots
International Journal of Robotics Research
Modeling and calibration of automated zoom lenses
Modeling and calibration of automated zoom lenses
Sensorimotor transformations in the worlds of frogs and robots
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Introduction to Robotics
Robot Control: The Task Function Approach
Robot Control: The Task Function Approach
Mutual Learning of Unsupervised Interactions between Mobile Robots
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Cooperative mobile robotics: antecedents and directions
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Cooperative multi-robot box-pushing
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
A pusher/steerer model for strongly cooperative mobile robot manipulation
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Transferring and regrasping a large object by cooperation of multiple mobile robots
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
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Several autonomous robots performing a common task not achievable by a single robot must coordinate their actions in order to succeed. A centralized control strategy may ensure this coordination, but it is often impractical due to strong restrictions on required feedback structure, inter-robot communications and tolerable time-delays. Decentralized control is shown to be an advantageous alternative, as it makes no use of explicit communication and is based only on local information about the robot position and task evolution. A two stage control structure is proposed. At a higher level, the task's specification is given along with information about the desired changes in the task space. At alower level, the assigned task evolution is ensured by an appropriate control strategy. As an application of the proposed technique, we analyze a system of two car-like robots moving a beam to a desired location. Nonholonomy of the robots, friction phenomena, and sensory feedback are all taken into account. The robustness of the proposed control structure is demonstrated by its ability to handle the obstacle avoidance problem: in order to avoid an obstacle, it is sufficient to have it detected by only one of the robots. Simulation results and our experimental setup are presented.