4 papers
Data-Driven Robust Barrier Functions for Safe, Long-Term Operation
Yousef Emam, Paul Glotfelter, Sean Wilson +2
Applications that require multi-robot systems to operate independently for extended periods of time in unknown or unstructured environments face a broad set of challenges, such as…
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions
Yousef Emam, Gennaro Notomista, Paul Glotfelter +1
Multi-robot task allocation is a ubiquitous problem in robotics due to its applicability in a variety of scenarios. Adaptive task-allocation algorithms account for unknown disturba…
Robust Barrier Functions for a Fully Autonomous, Remotely Accessible Swarm-Robotics Testbed
Yousef Emam, Paul Glotfelter, Magnus Egerstedt
The Robotarium, a remotely accessible swarm-robotics testbed, has provided free, open access to robotics and controls research for hundreds of users in thousands of experiments. Th…
Safe, Remote-Access Swarm Robotics Research on the Robotarium
Daniel Pickem, Li Wang, Paul Glotfelter +5
This paper describes the development of the Robotarium -- a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds const…