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Huaiguang Yang

7 accepted papers

2026

Three Percent is Enough: Semi-Supervised Martian Segmentation Labeling With Active Learning

RA-L 2026

Accurate, large-scale Martian segmentation datasets are a cornerstone of autonomous scene understanding in support of exploration and navigation in Martian environments. However, high-quality segmentation labeling on planetary images requires annotators to have professional extraterrestrial geologic

Cited by 0SourceScholar
2025

Imitation-Enhanced Reinforcement Learning With Privileged Smooth Transition for Hexapod Locomotion

RA-L 2025

Deep reinforcement learning (DRL) methods have shown significant promise in controlling the movement of quadruped robots. However, for systems like hexapod robots, which feature a higher-dimensional action space, it remains challenging for an agent to devise an effective control strategy directly. C

Cited by 9SourceScholar
2025

VLM-Empowered Multi-Mode System for Efficient and Safe Planetary Navigation

IROS 2025

The increasingly complex and diverse planetary exploration environment requires more adaptable and flexible rover navigation strategy. In this study, we propose a VLM-empowered multi-mode system to achieve efficient while safe autonomous navigation for planetary rovers. Vision-Language Model (VLM) i

Cited by 2SourcecodeScholar
2024

Enhancing Cooperative Exploration and Planning: UAV-Legged Robot Synergy

RA-L 2024

Specialized robots, such as legged robots and unmanned aerial vehicles (UAVs), are commonly regarded as effective platforms for aiding in search and rescue (SAR) missions. However, existing approaches often decouple the tasks between UAVs and legged robots, for instance, using UAVs for mapping and l

Cited by 6SourceScholar
2023

Learning-Based End-to-End Navigation for Planetary Rovers Considering Non-Geometric Hazards

RA-L 2023

Autonomous navigation plays an increasingly crucial role in rover-based planetary missions. End-to-end navigation approaches developed upon deep reinforcement learning have enabled great adaptability in complex environments. However, most existing works focus on geometric obstacle avoidance thus hav

Cited by 12SourceScholar
2023

Linear Prediction of High-Slip Sinkage for Planetary Rovers' Lugged-Wheels Based on Superposition Principle

RA-L 2023

Planetary rovers with lugged-wheels are the primary equipment for Mars exploration, and as exploration missions become more complex, rovers are expected move into more challenging terrains. When moving over soft sand or slopes, lugged-wheels experience high slip and heavy sinkage, and an explicit si

Cited by 11SourceScholar
2018

Dynamic Simulation of Planetary Rovers with Terrain Property Mapping

ICRA 2018poster

Simulation of planetary rovers moving on complex terrains is critical for Mars exploration. Equivalent stiffness is proposed and used to characterize the pressure-sinkage property of terrain, while friction angle to characterize the shearing property. Terramechanics model for calculating forces betw…

Cited by 5SourceScholar