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20162026
most citedLinear Matrix Inequalities for Physically-Consistent Inertial Parameter Identification: A Statistical Perspective on the Mass Distribution

143 citations · 378 across the 39 of their papers we have counts for

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36 papers · 1 filter

cs.RO2026

Adapting Rigid-Body Dynamics Derivatives for Constraint Embedding Closed-Chain Models

Daniel J. Volpi, Patrick M. Wensing

This paper extends an existing algorithm for the first-order derivatives of rigid-body dynamics to the case of closed-chain kinematic systems modeled using constraint embed- ding.…

cs.RO2025

Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion

Shunpeng Yang, Zhen Fu, Zhefeng Cao +4

Generalizing locomotion policies across diverse legged robots with varying morphologies is a key challenge due to differences in observation/action dimensions and system dynamics.…

cs.RO2024

URDF+: An Enhanced URDF for Robots with Kinematic Loops

Matthew Chignoli, Jean-Jacques Slotine, Patrick M. Wensing +1

Designs incorporating kinematic loops are becoming increasingly prevalent in the robotics community. Despite the existence of dynamics algorithms to deal with the effects of such l…

cs.RO2024★ 1 cited

Simultaneous Locomotion Mode Classification and Continuous Gait Phase Estimation for Transtibial Prostheses

Ryan Posh, Shenggao Li, Patrick Wensing

Recognizing and identifying human locomotion is a critical step to ensuring fluent control of wearable robots, such as transtibial prostheses. In particular, classifying the intend…

cs.RO2024

Task-Space Riccati Feedback based Whole Body Control for Underactuated Legged Locomotion

Shunpeng Yang, Zejun Hong, Sen Li +3

This manuscript primarily aims to enhance the performance of whole-body controllers(WBC) for underactuated legged locomotion. We introduce a systematic parameter design mechanism f…

cs.RO2024

Cafe-Mpc: A Cascaded-Fidelity Model Predictive Control Framework with Tuning-Free Whole-Body Control

He Li, Patrick M. Wensing

This work introduces an optimization-based locomotion control framework for on-the-fly synthesis of complex dynamic maneuvers. At the core of the proposed framework is a cascaded-f…