7 papers · 1 filter
DexDirect: Direct Kinesthetic Arm Guidance for Efficient Dexterous Demonstration Collection
Beom Jun Kim, Shiu-Jen Wang, Jonathan Liu +7
Scalable collection of dexterous manipulation demonstrations remains a major bottleneck for robot learning. High-fidelity interfaces often require costly hardware and extensive set…
MIDAS Hand: Modular low-Impedance Direct-drive Anthropomorphic Sensing Hand
Alvin Zhu, Mingzhang Zhu, Beom Jun Kim +3
Dexterous manipulation is limited not only by algorithms but by a shortage of accessible hand hardware that combines human-scale morphology, ease of manufacturing or maintenance, t…
DexEXO: A Wearability-First Dexterous Exoskeleton for Operator-Agnostic Demonstration and Learning
Alvin Zhu, Mingzhang Zhu, Beom Jun Kim +10
Scaling dexterous robot learning is constrained by the difficulty of collecting high-quality demonstrations across diverse operators. Existing wearable interfaces often trade comfo…
WHED: A Wearable Hand Exoskeleton for Natural, High-Quality Demonstration Collection
Mingzhang Zhu, Alvin Zhu, Jose Victor S. H. Ramos +9
Scalable learning of dexterous manipulation remains bottlenecked by the difficulty of collecting natural, high-fidelity human demonstrations of multi-finger hands due to occlusion,…
A Hierarchical, Model-Based System for High-Performance Humanoid Soccer
Quanyou Wang, Mingzhang Zhu, Ruochen Hou +16
The development of athletic humanoid robots has gained significant attention as advances in actuation, sensing, and control enable increasingly dynamic, real-world capabilities. Ro…
Model Predictive Control with Visibility Graphs for Humanoid Path Planning and Tracking Against Adversarial Opponents
Ruochen Hou, Gabriel I. Fernandez, Mingzhang Zhu +1
In this paper we detail the methods used for obstacle avoidance, path planning, and trajectory tracking that helped us win the adult-sized, autonomous humanoid soccer league in Rob…
Fast and Robust Localization for Humanoid Soccer Robot via Iterative Landmark Matching
Ruochen Hou, Mingzhang Zhu, Hyunwoo Nam +2
Accurate robot localization is essential for effective operation. Monte Carlo Localization (MCL) is commonly used with known maps but is computationally expensive due to landmark m…