most citedPC-Planner: Physics-Constrained Self-Supervised Learning for Robust Neural Motion Planning with Shape-Aware Distance Function

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

FreeLoc: Online Floorplan Localization via Diffusion-Aided Pose Refinement

Haocheng Peng, Boyang Zhou, Jiarui Hu +7

Floorplans provide compact and widely available geometric maps for indoor localization, but existing high-performing floorplan-based methods still convert them into dense scene-spe…

cs.RO2026

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations

Ziyang Zhang, Boyang Zhou, Zesong Yang +8

Real-time navigation in cluttered and dynamic environments requires collision-free and dynamically feasible motion under limited perception. However, feasible navigation behaviors…

cs.CV2026

Compact Object-Level Representations with Open-Vocabulary Understanding for Indoor Visual Relocalization

Zhaopeng Cui, Jiarui Hu, Jingbo Liu +7

Indoor visual relocalization plays a critical role in emerging spatial and embodied AI applications. However, prior research was predominantly devoted to low-level vision schemes,…

cs.CV2026

DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics

Yuanhang Lei, Boming Zhao, Zesong Yang +10

Modeling wind-driven object dynamics from video observations is highly challenging due to the invisibility and spatio-temporal variability of wind, as well as the complex deformati…

cs.RO2024★ 6 cited

PC-Planner: Physics-Constrained Self-Supervised Learning for Robust Neural Motion Planning with Shape-Aware Distance Function

Xujie Shen, Haocheng Peng, Zesong Yang +4

Motion Planning (MP) is a critical challenge in robotics, especially pertinent with the burgeoning interest in embodied artificial intelligence. Traditional MP methods often strugg…