collaborators

9 papers

cs.RO2026

DR-VLA: Learning Human-Like Quadruped Navigation from Egocentric Web Videos via Domain-Invariant Scene Representations

Jun Tian, Yingjie Niu, Ruo Chen +2

Quadruped robots performing outdoor deliveries must interpret complex scenes, anticipate changes, and navigate in socially compliant ways. Robot demonstrations are costly to collec…

cs.RO2026

LynxScenes: A Large-Scale Real-World Benchmark for Outdoor Wheel-Legged Robot Perception, Navigation, Imagination and Reconstruction

Jun Tian, Hao Wu, Ruo Chen +5

Wheel-legged robots operating in outdoor spaces shared with humans require accurate perception, socially compliant navigation, future-scene reasoning, and scene reconstruction. How…

cs.RO2026

From Pixels to Executable Physics: Behavior-Grounded World Models for Embodied Action Consequence Prediction

Ruo Chen, Jiahua Pang, Yingjie Niu +4

In outdoor environments, varying terrain and contact conditions can cause identical action commands to produce different motion outcomes for quadruped robots. Predicting these outc…

cs.CV2026

SafeVantage: Vantage-Aware Memory for Reliable Embodied Decisions

Sean Hardesty Lewis, Zuyi Guo, Benwang Chen +4

Reliable embodied decisions under partial observability require informative observations and sufficient supporting evidence. However, semantic scores alone do not reveal which view…

cs.RO2026

PileBelief: Persistent Physical State for Interaction-Driven World Modeling

Hongyi Lin, Song Zhang, Haiquan Liu +3

World models allow robots to anticipate action consequences before execution. This capability is especially valuable in excavation, where each scoop reshapes the terrain and affect…

cs.RO2026

Physical-Touch Observability from Wrist Wrench in Granular Scooping

Hongyi Lin, Song Zhang, Xubo Liu +1

Mining and earthmoving are important real-world deployment settings for embodied intelligence. Autonomous transport and driving systems have improved substantially, but loading and…

cs.CV2026

VeriFuse: Bounded Vision-Language Arbitration and Reason-Guided Refinement for Cooperative 3D Perception

Hongyi Lin, Yiyao Liu, Qi Kang +4

Vision-language models (VLMs) have demonstrated strong scene understanding and semantic judgment across diverse tasks, but their appropriate role in cooperative perception remains…

cs.CV2026

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning

Hongyi Lin, Yang Liu, Jinhua Zhao +1

Foundation models are increasingly integrated into embodied intelligence systems, but directly assigning them structured prediction tasks requires precise geometric and numerical e…

cs.CV2026

Risk-Controllable Multi-View Diffusion for Driving Scenario Generation

Hongyi Lin, Wenxiu Shi, Heye Huang +5

Generating safety-critical driving scenarios is crucial for evaluating and improving autonomous driving systems, but long-tail risky situations are rarely observed in real-world da…