works on

From the 1 of 21 linked papers with an AI index.

collaborators

21 papers

cs.RO2026

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation

Zheng Yang, Wenjie Zhang, Xiangyu Chen +7

Mobile manipulation requires a robot to coordinate base and arm motion under continuously changing viewpoints and contact conditions, within an action space far larger than that of…

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

The paper introduces Open-AoE, a large-scale egocentric video dataset of human manipulation together with a processing and downstream toolchain that provides hand pose, camera traj…

cs.RO2026

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems

Junzhe Xu, Zecui Zeng, Lusong Li +2

Dynamic environmental changes, confined workspaces, and stringent real-time constraints make pathfinding in Robotic Mobile Fulfillment Systems (RMFS) a challenging problem for conv…

cs.RO2026

PL-LIT: A LiDAR-Inertial-Thermal SLAM Using Point-Line Features and Thermographic Mapping

Jiawei Xia, Yixiao Feng, Yongliang Shi +4

Thermal imaging is resilient to adverse conditions, such as intense illumination, low-light operation, and fog, and can therefore mitigate odometry degradation when visible-spectru…

cs.CV2026

Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model

Zizhao Yuan, Zhengtu Liang, Taowen Wang +7

Recent advances in action-conditioned world models show promising progress in modeling complex interactions and forecasting future states under diverse action sequences. While thes…

cs.RO2026

HumanoidArena: Benchmarking Egocentric Hierarchical Whole-body Learning

Taowen Wang, Zikang Xie, Bin Yang +13

Humanoid robots promise whole-body interaction in human-centered environments, but scalable policy learning remains difficult because task-level decision-making and whole-body dyna…