1 citations · 1 across the 4 of their papers we have counts for
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Coverage Control in Multi-Robot Systems via Graph Neural Networks
Walker Gosrich, Siddharth Mayya, Rebecca Li +4
This paper develops a decentralized approach to mobile sensor coverage by a multi-robot system. We consider a scenario where a team of robots with limited sensing range must positi…
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…
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou +2
We consider a scenario where a team of robots with heterogeneous sensors must track a set of hostile targets which induce sensory failures on the robots. In particular, the likelih…
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…
A Set-Theoretic Approach to Multi-Task Execution and Prioritization
Gennaro Notomista, Siddharth Mayya, Mario Selvaggio +2
Executing multiple tasks concurrently is important in many robotic applications. Moreover, the prioritization of tasks is essential in applications where safety-critical tasks need…
A Study of a Class of Vibration-Driven Robots: Modeling, Analysis, Control and Design of the Brushbot
Gennaro Notomista, Siddharth Mayya, Anirban Mazumdar +2
In this paper we present a study of a specific class of vibration-driven robots: the brushbots. In a bottom-up fashion, we start by deriving dynamic models of the brushes and we di…