activity
20122024
most citedLOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

129 citations · 205 across the 17 of their papers we have counts for

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20 papers · 1 filter

cs.RO20221 cited

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields

Dominic Maggio, Marcus Abate, Jingnan Shi +2

We present Loc-NeRF, a real-time vision-based robot localization approach that combines Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained Ne…

cs.RO20222 cited

Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification

Pasquale Antonante, Heath Nilsen, Luca Carlone

This paper investigates runtime monitoring of perception systems. Perception is a critical component of high-integrity applications of robotics and autonomous systems, such as self…

cs.RO202141 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

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

Ali Agha, Kyohei Otsu, Benjamin Morrell +69

This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…

cs.RO2021

Dynamic Grasping with a "Soft" Drone: From Theory to Practice

Joshua Fishman, Samuel Ubellacker, Nathan Hughes +1

Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This…

cs.RO2021

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai +4

State estimation for robots navigating in GPS-denied and perceptually-degraded environments, such as underground tunnels, mines and planetary subsurface voids, remains challenging…