From the 1 of 4 linked papers with an AI index.
4 papers
AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations
Ziyang Zhang, Boyang Zhou, Zesong Yang +8
The paper proposes a goal‑conditioned stochastic path prior that learns a transferable distribution over local navigation paths from limited observations, enabling safe, multimodal…
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,…
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…
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…