works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO2026

NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation

Bingyi Xia, Han Bao, Jingyu Zhu +6

Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety and natural human-robot interaction in real-world environments shared…

cs.RO2026

UniviewVLA: A Unified Multiview Vision-Language-Action Model with World Modeling

Tao Xu, Runhao Zhang, Zhijian Huang +7

Occluded tasks remain a bottleneck in robot manipulation. Existing solutions either deploy additional physical cameras requiring training-inference camera parity, or rely on explic…

cs.RO2026

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation

Jiamin Zheng, Jingwen Yu, Guangcheng Chen +1

Indoor robot navigation is often compromised by glass surfaces, which severely corrupt depth sensor measurements. While foundation models like Depth Anything 3 provide excellent ge…

cs.RO2026

VG-Mapping: Variation-aware Density Control for Online 3D Gaussian Mapping in Semi-static Scenes

Yicheng He, Jingwen Yu, Guangcheng Chen +1

Maintaining an up-to-date map that accurately reflects recent changes in the environment is crucial, especially for robots that repeatedly traverse the same space. Failing to promp…

cs.RO2025

EZREAL: Enhancing Zero-Shot Outdoor Robot Navigation toward Distant Targets under Varying Visibility

Tianle Zeng, Jianwei Peng, Hanjing Ye +3

Zero-shot object navigation (ZSON) in large-scale outdoor environments faces many challenges; we specifically address a coupled one: long-range targets that reduce to tiny projecti…

cs.RO2025

TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking

Hanjing Ye, Yu Zhan, Weixi Situ +6

Tracking a target person from robot-egocentric views is crucial for developing autonomous robots that provide continuous personalized assistance or collaboration in Human-Robot Int…