1 citations · 1 across the 4 of their papers we have counts for
5 papers
ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking
Weidong Huang, Jingwen Zhang, Jiongye Li +6
Achieving stable and energy-efficient locomotion is essential for humanoid robots to operate continuously in real-world applications. Existing MPC and RL approaches often rely on e…
ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments
Kangjie Zhou, Zhaoyang Li, Han Gao +4
Target search and tracking (SAT) is a fundamental problem for various robotic applications such as search and rescue and environmental exploration. This paper proposes an informati…
Path and Motion Optimization for Efficient Multi-Location Inspection with Humanoid Robots
Jiayang Wu, Jiongye Li, Shibowen Zhang +8
This paper proposes a novel framework for humanoid robots to execute inspection tasks with high efficiency and millimeter-level precision. The approach combines hierarchical planni…
In-situ Value-aligned Human-Robot Interactions with Physical Constraints
Hongtao Li, Ziyuan Jiao, Xiaofeng Liu +2
Equipped with Large Language Models (LLMs), human-centered robots are now capable of performing a wide range of tasks that were previously deemed challenging or unattainable. Howev…
SuperMag: Vision-based Tactile Data Guided High-resolution Tactile Shape Reconstruction for Magnetic Tactile Sensors
Peiyao Hou, Danning Sun, Meng Wang +5
Magnetic-based tactile sensors (MBTS) combine the advantages of compact design and high-frequency operation but suffer from limited spatial resolution due to their sparse taxel arr…