We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...
In most advanced real-time control applications such as service robots, the tasks have different criticality, flexible timing constraints and variable execution time. For instance...
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Abstract— We describe an autonomous robotic system capable of navigating through an office environment, opening doors along the way, and plugging itself into electrical outlets ...
Wim Meeussen, Melonee Wise, Stuart Glaser, Sachin ...
This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...