Learning robust autonomous navigation and locomotion for wheeled-legged robots

J Lee, M Bjelonic, A Reske, L Wellhausen, T Miki… - Science Robotics, 2024 - science.org
Autonomous wheeled-legged robots have the potential to transform logistics systems,
improving operational efficiency and adaptability in urban environments. Navigating urban …

Learning to model and plan for wheeled mobility on vertically challenging terrain

A Datar, C Pan, X **ao - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Most autonomous navigation systems assume wheeled robots are rigid bodies and their 2D
planar workspaces can be divided into free spaces and obstacles. However, recent wheeled …

Pronav: Proprioceptive traversability estimation for legged robot navigation in outdoor environments

M Elnoor, AJ Sathyamoorthy… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
We propose a novel method, ProNav, which uses proprioceptive signals for traversability
estimation in challenging outdoor terrains for autonomous legged robot navigation. Our …

Agile but safe: Learning collision-free high-speed legged locomotion

T He, C Zhang, W **ao, G He, C Liu, G Shi - arxiv preprint arxiv …, 2024 - arxiv.org
Legged robots navigating cluttered environments must be jointly agile for efficient task
execution and safe to avoid collisions with obstacles or humans. Existing studies either …

RoadRunner--Learning Traversability Estimation for Autonomous Off-road Driving

J Frey, S Khattak, M Patel, D Atha, J Nubert… - arxiv preprint arxiv …, 2024 - arxiv.org
Autonomous navigation at high speeds in off-road environments necessitates robots to
comprehensively understand their surroundings using onboard sensing only. The extreme …

Robust quadrupedal locomotion via risk-averse policy learning

J Shi, C Bai, H He, L Han, D Wang… - … on Robotics and …, 2024 - ieeexplore.ieee.org
The robustness of legged locomotion is crucial for quadrupedal robots in challenging
terrains. Recently, Reinforcement Learning (RL) has shown promising results in legged …

Resilient legged local navigation: Learning to traverse with compromised perception end-to-end

C Zhang, J **, J Frey, N Rudin… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Autonomous robots must navigate reliably in unknown environments even under
compromised exteroceptive perception, or perception failures. Such failures often occur …

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

J **, C Zhang, J Frey, N Rudin, M Mattamala… - arxiv preprint arxiv …, 2023 - arxiv.org
Autonomous robots must navigate reliably in unknown environments even under
compromised exteroceptive perception, or perception failures. Such failures often occur …

TRG-Planner: Traversal Risk Graph-Based Path Planning in Unstructured Environments for Safe and Efficient Navigation

D Lee, IMA Nahrendra, M Oh, B Yu… - IEEE Robotics and …, 2025 - ieeexplore.ieee.org
Unstructured environments such as mountains, caves, construction sites, or disaster areas
are challenging for autonomous navigation because of terrain irregularities. In particular, it is …

Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments

M Elnoor, K Weerakoon, G Seneviratne, R **an… - arxiv preprint arxiv …, 2024 - arxiv.org
We present a novel autonomous robot navigation algorithm for outdoor environments that is
capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav …