activity
20182026
most citedLOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping

102 citations · 176 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

World Model Failure Classification and Anomaly Detection for Autonomous Inspection

Michelle Ho, Muhammad Fadhil Ginting, Isaac R. Ward +4

Autonomous inspection robots for monitoring industrial sites can reduce costs and risks associated with human-led inspection. However, accurate readings can be challenging due to o…

cs.RO2025

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering

Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng +10

As robots become increasingly capable of operating over extended periods -- spanning days, weeks, and even months -- they are expected to accumulate knowledge of their environments…

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.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★ 102 cited

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping

Andrzej Reinke, Matteo Palieri, Benjamin Morrell +4

Lidar odometry has attracted considerable attention as a robust localization method for autonomous robots operating in complex GNSS-denied environments. However, achieving reliable…

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.RO2022★ 2 cited

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

Christopher E. Denniston, Yun Chang, Andrzej Reinke +5

Multi-robot SLAM systems in GPS-denied environments require loop closures to maintain a drift-free centralized map. With an increasing number of robots and size of the environment,…

cs.RO2021★ 17 cited

Simple But Effective Redundant Odometry for Autonomous Vehicles

Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss

Robust and reliable ego-motion is a key component of most autonomous mobile systems. Many odometry estimation methods have been developed using different sensors such as cameras or…

cs.RO2018★ 5 cited

A Factor Graph Approach to Multi-Camera Extrinsic Calibration on Legged Robots

Andrzej Reinke, Marco Camurri, Claudio Semini

Legged robots are becoming popular not only in research, but also in industry, where they can demonstrate their superiority over wheeled machines in a variety of applications. Eith…