5 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
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…
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
Zhangli Zhou, Shaochen Wang, Ziyang Chen +2
High-resolution representations are important for vision-based robotic grasping problems. Existing works generally encode the input images into low-resolution representations via s…
What You See is What You Grasp: User-Friendly Grasping Guided by Near-eye-tracking
Shaochen Wang, Wei Zhang, Zhangli Zhou +5
This work presents a next-generation human-robot interface that can infer and realize the user's manipulation intention via sight only. Specifically, we develop a system that integ…
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
Shaochen Wang, Zhangli Zhou, Zhen Kan
In this paper, we present a transformer-based architecture, namely TF-Grasp, for robotic grasp detection. The developed TF-Grasp framework has two elaborate designs making it well…
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Buchi Automata
Mingyu Cai, Shaoping Xiao, Zhijun Li +1
This paper studies the control synthesis of motion planning subject to uncertainties. The uncertainties are considered in robot motions and environment properties, giving rise to t…