38 citations · 126 across the 15 of their papers we have counts for
7 papers · 1 filter
Towards Computational Awareness in Autonomous Robots: An Empirical Study of Computational Kernels
Ashrarul H. Sifat, Burhanuddin Bharmal, Haibo Zeng +3
The potential impact of autonomous robots on everyday life is evident in emerging applications such as precision agriculture, search and rescue, and infrastructure inspection. Howe…
Distributed Adaptive and Resilient Control of Multi-Robot Systems with Limited Field of View Interactions
Pratik Mukherjee, Matteo Santilli, Andrea Gasparri +1
In this paper, we consider two coupled problems for distributed multi-robot systems (MRSs) coordinating with limited field of view (FOV) sensors: adaptive tuning of interaction gai…
A Predictive Autonomous Decision Aid for Calibrating Human-Autonomy Reliance in Multi-Agent Task Assignment
Larkin Heintzman, Ryan K. Williams
In this work, we develop a game-theoretic modeling of the interaction between a human operator and an autonomous decision aid when they collaborate in a multi-agent task allocation…
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning
Jun Liu, Murtaza Rangwala, Kulbir Singh Ahluwalia +5
Monitoring the health and vigor of grasslands is vital for informing management decisions to optimize rotational grazing in agriculture applications. To take advantage of forage re…
Submodular Optimization for Coupled Task Allocation and Intermittent Deployment Problems
Jun Liu, Ryan K. Williams
In this paper, we demonstrate a formulation for optimizing coupled submodular maximization problems with provable sub-optimality bounds. In robotics applications, it is quite commo…
Monitoring Over the Long Term: Intermittent Deployment and Sensing Strategies for Multi-Robot Teams
Jun Liu, Ryan K. Williams
In this paper, we formulate and solve the intermittent deployment problem, which yields strategies that couple \emph{when} heterogeneous robots should sense an environmental proces…
Distributed Resilient Submodular Action Selection in Adversarial Environments
Jun Liu, Lifeng Zhou, Pratap Tokekar +1
In this letter, we consider a distributed submodular maximization problem for multi-robot systems when attacked by adversaries. One of the major challenges for multi-robot systems…