activity
20232026
most citedCrashAgent: Crash Scenario Generation via Multi-modal Reasoning

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Simple Agentic Memory for Generalist Robot Policies

Yuyou Zhang, Yunbei Zhang, Miao Li +4

Visual-memory systems commonly retain or compress past observations. Robot control additionally requires interaction-derived state that no individual frame may explicitly represent…

cs.RO2026

LIBERO-MAX: Do Robot Policies Adapt When the World Changes?

Yunbei Zhang, Zijian Jin, Yuanzhe Liu +14

Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previ…

cs.CV2025

SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs

Yuyou Zhang, Radu Corcodel, Chiori Hori +2

We present SpinBench, a cognitively grounded diagnostic benchmark for evaluating spatial reasoning in vision language models (VLMs). SpinBench is designed around the core challenge…

cs.RO2025

Bipedalism for Quadrupedal Robots: Versatile Loco-Manipulation through Risk-Adaptive Reinforcement Learning

Yuyou Zhang, Radu Corcodel, Ding Zhao

Loco-manipulation of quadrupedal robots has broadened robotic applications, but using legs as manipulators often compromises locomotion, while mounting arms complicates the system.…

cs.RO2025★ 1 cited

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Miao Li, Wenhao Ding, Haohong Lin +4

Training and evaluating autonomous driving algorithms requires a diverse range of scenarios. However, most available datasets predominantly consist of normal driving behaviors demo…

cs.RO2025

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment

Yuyou Zhang, Yihang Yao, Shiqi Liu +7

When operating at their full capacity, quadrupedal robots can produce loud footstep noise, which can be disruptive in human-centered environments like homes, offices, and hospitals…

cs.CL2025

Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety

Yuyou Zhang, Miao Li, William Han +3

Large Language Models (LLMs) are vulnerable to jailbreak attacks that exploit weaknesses in traditional safety alignment, which often relies on rigid refusal heuristics or represen…

cs.CL2025

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training

Yihang Yao, Zhepeng Cen, Miao Li +6

Large Language Models (LLMs) have demonstrated strong reasoning capabilities across various tasks. However, even minor variations in query phrasing, despite preserving the underlyi…

cs.RO2023

COMPOSER: Scalable and Robust Modular Policies for Snake Robots

Yuyou Zhang, Yaru Niu, Xingyu Liu +1

Snake robots have showcased remarkable compliance and adaptability in their interaction with environments, mirroring the traits of their natural counterparts. While their hyper-red…