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20202026
most citedLOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

129 citations · 179 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

A System for Fast, Resilient, and Adaptable Loco-Manipulation Behaviors on Humanoid Robots

Duncan Calvert, Luigi Penco, Dexton Anderson +4

There is tremendous value in humanoid robots taking on physically demanding, hazardous, and repetitive work in spaces built for humans. However, a useful robot for these spaces mus…

cs.RO2026

A System for Fast, Resilient, and Adaptable Loco-Manipulation Behaviors on Humanoid Robots

Duncan William Calvert

Humanoid robots could take on physically demanding, hazardous, and repetitive work in spaces built for humans. However, a useful robot for these spaces must coordinate locomotion,…

cs.RO2025★ 10 cited

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments

Ali Agha, Kyohei Otsu, Benjamin Morrell +86

This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…

cs.RO2024

A Behavior Architecture for Fast Humanoid Robot Door Traversals

Duncan Calvert, Luigi Penco, Dexton Anderson +6

Towards the role of humanoid robots as squad mates in urban operations and other domains, we identified doors as a major area lacking capability development. In this paper, we focu…

cs.RO2022★ 38 cited

Present and Future of SLAM in Extreme Underground Environments

Kamak Ebadi, Lukas Bernreiter, Harel Biggie +28

This paper reports on the state of the art in underground SLAM by discussing different SLAM strategies and results across six teams that participated in the three-year-long SubT co…

cs.RO2022★ 2 cited

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

Yun Chang, Kamak Ebadi, Christopher E. Denniston +9

Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale underground environments requires high-precision localization and mapping. This crucial requ…

cs.RO2020★ 129 cited

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

M. Palieri, B. Morrell, A Thakur +7

A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-preci…