activity
20172026
most citedNTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint

188 citations · 273 across the 32 of their papers we have counts for

collaborators

43 papers

cs.RO2026

Probabilistic Scene Graphs: Hierarchical Representation and Real-time System

Waqas Ali, Michele Antonazzi, Timon Homberger +4

3D scene graphs provide semantically rich and hierarchical representations for robot perception. However, existing systems do not maintain uncertainty as an explicit belief or prop…

cs.RO2026

Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment

Denan Liang, Yuan Zhu, Ruimeng Liu +3

Although legged robots demonstrate impressive mobility on rough terrain, using them safely in cluttered environments remains a challenge. A key issue is their inability to avoid st…

cs.RO2026

Topological Motion Planning Diffusion: Generative Tangle-Free Path Planning for Tethered Robots in Obstacle-Rich Environments

Yifu Tian, Xinhang Xu, Thien-Minh Nguyen +1

In extreme environments such as underwater exploration and post-disaster rescue, tethered robots require continuous navigation while avoiding cable entanglement. Traditional planne…

cs.RO2026

Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage

Zhuoran Qiao, Tianxin Hu, Thien-Minh Nguyen +1

Off-world multi-robot exploration is challenged by sparse targets, limited sensing, hazardous terrain, and restricted communication. Many scientifically valuable clues are visually…

cs.RO2026

PanoDP: Learning Collision-Free Navigation with Panoramic Depth and Differentiable Physics

Hao Zhong, Pei Chi, Jiang Zhao +4

Autonomous collision-free navigation in cluttered environments requires safe decision-making under partial observability with both static structure and dynamic obstacles. We presen…

cs.RO2026

Task-Level Decisions to Gait Level Control: A Hierarchical Policy Approach for Quadruped Navigation

Sijia Li, Haoyu Wang, Shenghai Yuan +2

Real-world quadruped navigation is constrained by a scale mismatch between high-level navigation decisions and low-level gait execution, as well as by instabilities under out-of-di…