activity
20122023
most citedTLIO: Tight Learned Inertial Odometry

225 citations · 637 across the 34 of their papers we have counts for

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Showing 2021 · cs.ROShow all

12 papers · 2 filters

cs.RO2021

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…

cs.RO2021★ 41 cited

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems

Amanda Prorok, Matthew Malencia, Luca Carlone +3

Robustness is key to engineering, automation, and science as a whole. However, the property of robustness is often underpinned by costly requirements such as over-provisioning, kno…

cs.RO2021★ 3 cited

Infrastructure Node-based Vehicle Localization for Autonomous Driving

Elijah S. Lee, Ankit Vora, Armin Parchami +3

Vehicle localization is essential for autonomous vehicle (AV) navigation and Advanced Driver Assistance Systems (ADAS). Accurate vehicle localization is often achieved via expensiv…

cs.RO2021

Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks

Lifeng Zhou, Vijay Kumar

The problem of multi-robot target tracking asks for actively planning the joint motion of robots to track targets. In this paper, we focus on such target tracking problems in adver…

cs.RO2021★ 1 cited

Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practice

Elijah S. Lee, Daigo Shishika, Giuseppe Loianno +1

The perimeter defense game has received interest in recent years as a variant of the pursuit-evasion game. A number of previous works have solved this game to obtain the optimal st…

cs.RO2021

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…