Representation granularity enables time-efficient autonomous exploration in large, complex worlds
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 …
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 …
environments using legged and aerial robots. Tailored to the fact that subterranean settings …
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous
applications such as autonomous navigation and exploration. Despite many SLAM datasets …
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
This paper presents a novel approach for autonomous cooperating UAVs in search and
rescue operations in subterranean domains with complex topology. The proposed system …
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
We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …
environments. We simultaneously address four broad challenges that are typically …
Learning risk-aware costmaps via inverse reinforcement learning for off-road navigation
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 …
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
We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …
environments. We simultaneously address four broad challenges that are typically …
Incremental multimodal surface mapping via self-organizing gaussian mixture models
This letter describes an incremental multimodal surface mapping methodology, which
represents the environment as a continuous probabilistic model. This model enables high …
represents the environment as a continuous probabilistic model. This model enables high …
Flexible supervised autonomy for exploration in subterranean environments
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 …
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
Traversability estimation in rugged, unstructured environments remains a challenging
problem in field robotics. Often, the need for precise, accurate traversability estimation is in …
problem in field robotics. Often, the need for precise, accurate traversability estimation is in …