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Aim

Fleets of heterogeneous robots, such as ground vehicles and aerial vehicles, are deployed to accomplish tasks that are otherwise too inefficient or even infeasible for a single robot. Not only the overall efficiency of the team can be significantly improved by allowing the robots to move and act concurently; but also, the capabilities of the team can be greatly extended by enabling multiple robots to directly collaborate on a task. The former refers to task coordination, while the latter as motion coordination. In addition to their respective complexities, these two aspects are closely coupled and dependent, yielding it even more challenging to coordinate task and motion simultaneously. Moreover, their task and motion coordination are often subject to various constraints, including geometric constraints from the workspace; dynamic constraints from the robot model; and temporal constraints from the task specifications. How to address these constraints in a safe, efficient and real-time way remains an active and attractive research area. This workshop aims to bring experts in related domains (from both control and robotics backgrounds) together to brainstorm about these topics.

Particularly, we are interested in the following questions:

Speakers

Petter Ögren
KTH, Sweden
Pedro U. Lima
Universidade de Lisboa, Portugal
Héctor García de Marina
Universidad de Granada, Spain
Leonel Rozo
Bosch center for AI; Universität Tübingen, Germany
Yulong Gao
Imperial College London, UK
Christos Verginis
Uppsala University, Sweden

Organizers

Meng Guo
Peking University, China
Siyuan Liu
KTH, Sweden