collaborators

7 papers

cs.SE2026

GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions

Xinyu Che, Yunfei Ge, Shihao Li +9

Coding agents can modify and test code across large software projects. Game development is a domain where agents must implement gameplay rules. A game can end in a valid state even…

cs.AI2026

MindTopo: Can Foundation Models Reason in Topological Space?

Yunfei Ge, Anbang Liu, Qineng Wang +9

Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Co…

cs.RO2026

GN0: Toward a Unified Paradigm for Generation, Evaluation, and Policy Learning in Visual-Language Navigation

Xinhai Li, Xiaotao Zhang, Yuehao Huang +10

Embodied navigation connects intelligent agents with the physical world and is fundamental for general robotic intelligence. Limited availability and quality of navigation data hav…

cs.CL2026

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

Xinyu Che, Junqi Xiong, Yunfei Ge +9

Abundant procedural knowledge on the Web holds great potential for helping agents solve long-horizon tasks. However, such knowledge is often multimodal, heterogeneous, noisy, and i…

cs.RO2025

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance

Yang Zhang, Chenwei Wang, Ouyang Lu +7

Vision-Language-Action (VLA) models pre-trained on large, diverse datasets show remarkable potential for general-purpose robotic manipulation. However, a primary bottleneck remains…

cs.RO2025

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop

Tianxing Chen, Kaixuan Wang, Zhaohui Yang +96

Embodied Artificial Intelligence (Embodied AI) is an emerging frontier in robotics, driven by the need for autonomous systems that can perceive, reason, and act in complex physical…

cs.RO2025

Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning

Weiji Xie, Chenjia Bai, Jiyuan Shi +4

Humans possess delicate dynamic balance mechanisms that enable them to maintain stability across diverse terrains and under extreme conditions. However, despite significant advance…