activity
20242026
most citedRadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

6 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

LAG-IO: Multi-IMU State Estimation for Legged Robots Using Factor Graphs

Yicheng Zhou, Longwen Chen, Qinghua Yu +3

Robust proprioceptive state estimation is crucial for legged robots, particularly in challenging environments where exteroceptive sensors are unreliable. While traditional leg odom…

cs.RO2026

Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks

Chunyun Ma, Lun Luo, Xingjian Luo +7

Reliable execution of long-horizon mobile manipulation tasks remains challenging because overall task success depends on the successful completion of multiple constituent skills. E…

cs.RO2025

SurfAAV: Design and Implementation of a Novel Multimodal Surfing Aquatic-Aerial Vehicle

Kun Liu, Junhao Xiao, Hao Lin +4

Despite significant advancements in the research of aquatic-aerial robots, existing configurations struggle to efficiently perform underwater, surface, and aerial movement simultan…

cs.HC2024

sEMG-based Gesture-Free Hand Intention Recognition: System, Dataset, Toolbox, and Benchmark Results

Hongxin Li, Jingsheng Tang, Xuechao Xu +5

In sensitive scenarios, such as meetings, negotiations, and team sports, messages must be conveyed without detection by non-collaborators. Previous methods, such as encrypting mess…

cs.CV2024

TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework

Guanfeng Tang, Zhiyuan Wu, Jiahang Li +5

Semantic segmentation and stereo matching, respectively analogous to the ventral and dorsal streams in our human brain, are two key components of autonomous driving perception syst…

cs.RO2024★ 6 cited

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu +2

Moving object segmentation (MOS) and Ego velocity estimation (EVE) are vital capabilities for mobile systems to achieve full autonomy. Several approaches have attempted to achieve…