activity
20192021
most citedA Receding Horizon Scheduling Approach for Search & Rescue Scenarios

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2021

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…

cs.RO2021

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…

cs.RO2020

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…

cs.MA20201 cited

A Receding Horizon Scheduling Approach for Search & Rescue Scenarios

Yousef Emam, Sean Wilson, Mathias Hakenberg +2

Many applications involving complex multi-task problems such as disaster relief, logistics and manufacturing necessitate the deployment and coordination of heterogeneous multi-agen…

cs.RO2020

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…

cs.RO2019

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…