116 citations · 153 across the 7 of their papers we have counts for
7 papers
PegasusFlow: Parallel Rolling-Denoising Score Sampling for Robot Diffusion Planner Flow Matching
Lei Ye, Haibo Gao, Peng Xu +7
Diffusion models offer powerful generative capabilities for robot trajectory planning, yet their practical deployment on robots is hindered by a critical bottleneck: a reliance on…
VLM-Empowered Multi-Mode System for Efficient and Safe Planetary Navigation
Sinuo Cheng, Ruyi Zhou, Wenhao Feng +4
The increasingly complex and diverse planetary exploration environment requires more adaptable and flexible rover navigation strategy. In this study, we propose a VLM-empowered mul…
Whole-Body Constrained Learning for Legged Locomotion via Hierarchical Optimization
Haoyu Wang, Ruyi Zhou, Liang Ding +5
Reinforcement learning (RL) has demonstrated impressive performance in legged locomotion over various challenging environments. However, due to the sim-to-real gap and lack of expl…
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation
Jiaqi Chen, Jonas Frey, Ruyi Zhou +3
Identifying the physical properties of the surrounding environment is essential for robotic locomotion and navigation to deal with non-geometric hazards, such as slippery and defor…
Scientific Exploration of Challenging Planetary Analog Environments with a Team of Legged Robots
Philip Arm, Gabriel Waibel, Jan Preisig +8
The interest in exploring planetary bodies for scientific investigation and in-situ resource utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-th…
Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues
Ruyi Zhou, Wenhao Feng, Huaiguang Yang +4
Non-geometric mobility hazards such as rover slippage and sinkage posing great challenges to costly planetary missions are closely related to the mechanical properties of terrain.…
Fault Tolerant Free Gait and Footstep Planning for Hexapod Robot Based on Monte-Carlo Tree
Liang Ding, Peng Xu, Haibo Gao +4
Legged robots can pass through complex field environments by selecting gaits and discrete footholds carefully. Traditional methods plan gait and foothold separately and treat them…