Ergebnisse für: Networked Multi-robot Systems
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This
book focuses on two challenges posed in robot control by the increasing
adoption of robots in the everyday human environment: uncertainty and networked
communication. Part
I of the book describes learning control to address environmental uncertainty.
Part II discusses state estimation, active s...
This volume of the SPAR series brings the proceedings of the fourteen edition of the DARS symposium on Distributed Autonomous Robotic Systems, whose proceedings have been published within SPAR since the past edition. This symposium took place in Boulder, CO from October 15th to 17th, 2018. The volum...
This
book focuses on two challenges posed in robot control by the increasing
adoption of robots in the everyday human environment: uncertainty and networked
communication. Part
I of the book describes learning control to address environmental uncertainty.
Part II discusses state estimation, active s...
This
book focuses on two challenges posed in robot control by the increasing
adoption of robots in the everyday human environment: uncertainty and networked
communication. Part
I of the book describes learning control to address environmental uncertainty.
Part II discusses state estimation, active s...
This volume of the SPAR series brings the proceedings of the fourteen edition of the DARS symposium on Distributed Autonomous Robotic Systems, whose proceedings have been published within SPAR since the past edition. This symposium took place in Boulder, CO from October 15th to 17th, 2018. The volum...
The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL i...
The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL i...
This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a d...
This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a d...