2 citations · 3 across the 7 of their papers we have counts for
9 papers · 1 filter
Temporal Logic Guided Universal Task Representations for Reinforcement Learning
Hao Zhang, Zhangli Zhou, Zhen Kan
Task guided agents demonstrate strong performance in a wide range of complex tasks. However, most existing task representation algorithms are tailored to specific contexts and stru…
Kilohertz-Safe: A Scalable Framework for Constrained Dexterous Retargeting
Yinxiao Tian, Ziyi Yang, Zinan Zhao +1
Dexterous hand teleoperation requires motion re-targeting methods that simultaneously achieve high-frequency real-time performance and enforcement of heterogeneous kinematic and sa…
A Novel Task-Driven Diffusion-Based Policy with Affordance Learning for Generalizable Manipulation of Articulated Objects
Hao Zhang, Zhen Kan, Weiwei Shang +1
Despite recent advances in dexterous manipulations, the manipulation of articulated objects and generalization across different categories remain significant challenges. To address…
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang, Hao Wang, Xiucai Huang +2
Reinforcement Learning (RL) based methods have been increasingly explored for robot learning. However, RL based methods often suffer from low sampling efficiency in the exploration…
Lightweight Neural Path Planning
Jinsong Li, Shaochen Wang, Ziyang Chen +2
Learning-based path planning is becoming a promising robot navigation methodology due to its adaptability to various environments. However, the expensive computing and storage asso…
Vision-Based Reactive Planning and Control of Quadruped Robots in Unstructured Dynamic Environments
Tangyu Qian, Zhangli Zhou, Shaocheng Wang +3
Quadruped robots have received increasing attention for the past few years. However, existing works primarily focus on static environments or assume the robot has full observations…