1 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Safe Reinforcement Learning Using Robust Control Barrier Functions
Yousef Emam, Gennaro Notomista, Paul Glotfelter +2
Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, s…
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems
Gennaro Notomista, Siddharth Mayya, Yousef Emam +4
In the context of heterogeneous multi-robot teams deployed for executing multiple tasks, this paper develops an energy-aware framework for allocating tasks to robots in an online f…
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…