IROS 2018 Second Workshop on
Multi-robot Perception-Driven Control and Planning
Full day workshop, 5th of October
Multi-robot research is gaining more and more strength within the robotics community every year. Collaborative robots are becoming essential in multitude of tasks such as production, environmental monitoring and transportation. In such dynamic environments, the problem of accurate perception requires novel methodologies involving planning and control of the team.
The last years have witnessed the appearance of several novel control and planning techniques specifically oriented to perception problems, such as next best view, extremum seeking or informative path planning. The complexity of most of the existing solutions grows exponentially in multi-robot setups, where the number of control variables increases with the size of the team. Moreover, local perception, partial information and limited communications, among other factors, make the general problem even harder to solve. Currently, it is not clear what can be reasonable tradeoffs between overall performance and scalability, nor there is consensus about what are the best tools to tackle these problems.
Thus, the primary objective of this workshop is to provide an overview of the latest theoretical and algorithmic solutions developed for motion planning and control of multi-robot systems, where perception and communication play a fundamental role in the problem definition.
Invited speakers (in alphabetical order):
Organizers:
Questions and inquiries should be directed at iros18mpcp AT unizar DOT es