activity
20242026
most citedAll Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

2 citations · 2 across the 2 of their papers we have counts for

collaborators

6 papers

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

Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations

Han Bao, Bingyi Xia, Hanjing Ye +5

Robot crowd navigation requires the ability to infer human intentions while accounting for the structural constraints of the environment. Currently, deep reinforcement learning (DR…

cs.RO2025

SONAR: Semantic-Object Navigation with Aggregated Reasoning through a Cross-Modal Inference Paradigm

Yao Wang, Zhirui Sun, Wenzheng Chi +3

Understanding human instructions and accomplishing Vision-Language Navigation tasks in unknown environments is essential for robots. However, existing modular approaches heavily re…

cs.RO2025

DA-VPC: Disturbance-Aware Visual Predictive Control Scheme of Docking Maneuvers for Autonomous Trolley Collection

Yuhan Pang, Bingyi Xia, Zhe Zhang +5

Service robots have demonstrated significant potential for autonomous trolley collection and redistribution in public spaces like airports or warehouses to improve efficiency and r…

cs.RO2024

FLAF: Focal Line and Feature-constrained Active View Planning for Visual Teach and Repeat

Changfei Fu, Weinan Chen, Wenjun Xu +1

This paper presents FLAF, a focal line and feature-constrained active view planning method for tracking failure avoidance in feature-based visual navigation of mobile robots. Our F…

cs.RO20242 cited

All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

Zhiqiang Wang, Hao Zheng, Yunshuang Nie +11

Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitation…