11 citations · 27 across the 17 of their papers we have counts for
21 papers · 1 filter
Range Limited Coverage Control using Air-Ground Multi-Robot Teams
Max Rudolph, Sean Wilson, Magnus Egerstedt
In this paper, we investigate how heterogeneous multi-robot systems with different sensing capabilities can observe a domain with an apriori unknown density function. Common covera…
Optimal Stochastic Evasive Maneuvers Using the Schrodinger's Equation
Farhad Farokhi, Magnus Egerstedt
In this paper, preys with stochastic evasion policies are considered. The stochasticity adds unpredictable changes to the prey's path for avoiding predator's attacks. The prey's co…
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…
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…
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
Yousef Emam, Siddharth Mayya, Gennaro Notomista +2
For multi-robot teams with heterogeneous capabilities, typical task allocation methods assign tasks to robots based on the suitability of the robots to perform certain tasks as wel…