Representation granularity enables time-efficient autonomous exploration in large, complex worlds

C Cao, H Zhu, Z Ren, H Choset, J Zhang - Science Robotics, 2023 - science.org
We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …

Autonomous teamed exploration of subterranean environments using legged and aerial robots

M Kulkarni, M Dharmadhikari… - … on Robotics and …, 2022 - ieeexplore.ieee.org
This paper presents a novel strategy for autonomous teamed exploration of subterranean
environments using legged and aerial robots. Tailored to the fact that subterranean settings …

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments

S Zhao, Y Gao, T Wu, D Singh… - Proceedings of the …, 2024 - openaccess.thecvf.com
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous
applications such as autonomous navigation and exploration. Despite many SLAM datasets …

UAVs beneath the surface: Cooperative autonomy for subterranean search and rescue in DARPA SubT

M Petrlik, P Petracek, V Kratky, T Musil… - arXiv preprint arXiv …, 2022 - arxiv.org
This paper presents a novel approach for autonomous cooperating UAVs in search and
rescue operations in subterranean domains with complex topology. The proposed system …

[PDF][PDF] Resilient multi-sensor exploration of multifarious environments with a team of aerial robots

G Best, R Garg, J Keller, GA Hollinger… - Robotics: Science and …, 2022 - opus.lib.uts.edu.au
We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …

Learning risk-aware costmaps via inverse reinforcement learning for off-road navigation

S Triest, MG Castro, P Maheshwari… - … on Robotics and …, 2023 - ieeexplore.ieee.org
The process of designing costmaps for off-road driving tasks is often a challenging and
engineering-intensive task. Recent work in costmap design for off-road driving focuses on …

Multi-robot, multi-sensor exploration of multifarious environments with full mission aerial autonomy

G Best, R Garg, J Keller… - … Journal of Robotics …, 2024 - journals.sagepub.com
We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …

Incremental multimodal surface mapping via self-organizing gaussian mixture models

K Goel, W Tabib - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
This letter describes an incremental multimodal surface mapping methodology, which
represents the environment as a continuous probabilistic model. This model enables high …

Flexible supervised autonomy for exploration in subterranean environments

H Biggie, ER Rush, DG Riley, S Ahmad… - arXiv preprint arXiv …, 2023 - arxiv.org
While the capabilities of autonomous systems have been steadily improving in recent years,
these systems still struggle to rapidly explore previously unknown environments without the …

UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments

S Triest, DD Fan, S Scherer… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Traversability estimation in rugged, unstructured environments remains a challenging
problem in field robotics. Often, the need for precise, accurate traversability estimation is in …