4 citations · 9 across the 12 of their papers we have counts for
13 papers
SPRINT: Efficient Spectral Priors for Humanoid Athletic Sprints
Yantong Wei, Kaihong Huang, Hainan Pan +6
The pursuit of humanoid athletic sprints is hindered by a scarcity of humanoid-viable kinematic reference data and the inability of existing frameworks to maintain stability during…
HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton
Rui Zhong, Yizhe Sun, Junjie Wen +7
A significant bottleneck in humanoid policy learning is the acquisition of large-scale, diverse datasets, as collecting reliable real-world data remains both difficult and cost-pro…
Dual-Arm Hierarchical Planning for Laboratory Automation: Vibratory Sieve Shaker Operations
Haoran Xiao, Xue Wang, Huimin Lu +5
This paper addresses the challenges of automating vibratory sieve shaker operations in a materials laboratory, focusing on three critical tasks: 1) dual-arm lid manipulation in 3 c…
Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration
Ce Guo, Xieyuanli Chen, Zhiwen Zeng +5
Tactile and kinesthetic perceptions are crucial for human dexterous manipulation, enabling reliable grasping of objects via proprioceptive sensorimotor integration. For robotic han…
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar
Shuaifeng Jiao, Zhiwen Zeng, Zhuoqun Su +3
As lunar exploration missions grow increasingly complex, ensuring safe and autonomous rover-based surface exploration has become one of the key challenges in lunar exploration task…
HI-GVF: Shared Control based on Human-Influenced Guiding Vector Fields for Human-multi-robot Cooperation
Pengming Zhu, Zongtan Zhou, Weijia Yao +3
Human-multi-robot shared control leverages human decision-making and robotic autonomy to enhance human-robot collaboration. While widely studied, existing systems often adopt a lea…
Consensus-Based Dynamic Task Allocation for Multi-Robot System Considering Payloads Consumption
Xuekai Qiu, Pengming Zhu, Yiming Hu +2
This paper presents a consensus-based payload algorithm (CBPA) to deal with the condition of robots' capability decrease for multi-robot task allocation. During the execution of co…
SPF-EMPC Planner: A real-time multi-robot trajectory planner for complex environments with uncertainties
Peng Liu, Pengming Zhu, Zhiwen Zeng +3
In practical applications, the unpredictable movement of obstacles and the imprecise state observation of robots introduce significant uncertainties for the swarm of robots, especi…
DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction
Pengming Zhu, Zhiwen Zeng, Weijia Yao +3
In recent years, there has been a significant amount of research on algorithms and control methods for distributed collaborative robots. However, the emergence of collective behavi…
Edge Agreement of Second-order Multi-agent System with Dynamic Quantization via Directed Edge Laplacian
Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng +1
This work explores the edge agreement problem of second-order multi-agent system with dynamic quantization under directed communication. To begin with, by virtue of the directed ed…
Multi-Agent Distributed Coordination Control: Developments and Directions
Xiangke Wang, Xun Li, Yirui Cong +2
In this paper, the recent developments on distributed coordination control, especially the consensus and formation control, are summarized with the graph theory playing a central r…
Convergence Analysis using the Edge Laplacian: Robust Consensus of Nonlinear Multi-agent Systems via ISS Method
Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng
This study develops an original and innovative matrix representation with respect to the information flow for networked multi-agent system. To begin with, the general concepts of t…
Edge Agreement of Multi-agent System with Quantized Measurements via the Directed Edge Laplacian
Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng
This work explores the edge agreement problem of second-order nonlinear multi-agent system under quantized measurements. Under the edge agreement framework, we introduce an importa…