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20172026
most citedMulti-Robot Coordination and Planning in Uncertain and Adversarial Environments

59 citations · 183 across the 41 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020

Communication-Aware Multi-robot Coordination with Submodular Maximization

Guangyao Shi, Ishat E Rabban, Lifeng Zhou +1

Submodular maximization has been widely used in many multi-robot task planning problems including information gathering, exploration, and target tracking. However, the interplay be…

cs.RO2020★ 2 cited

Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem

Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar +1

We introduce a risk-aware multi-objective Traveling Salesperson Problem (TSP) variant, where the robot tour cost and tour reward have to be optimized simultaneously. The robot obta…

cs.RO2020★ 5 cited

Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks

Guangyao Shi, Lifeng Zhou, Pratap Tokekar

The multiple-path orienteering problem asks for paths for a team of robots that maximize the total reward collected while satisfying budget constraints on the path length. This pro…

cs.RO2020

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles

Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou +1

We propose a risk-aware framework for multi-robot, multi-demand assignment and planning in unknown environments. Our motivation is disaster response and search-and-rescue scenarios…

cs.RO2020★ 1 cited

Risk-Aware Submodular Optimization for Multi-Robot Coordination

Lifeng Zhou, Pratap Tokekar

We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using…