activity
20152023
most citedA Complex Stiffness Human Impedance Model with Customizable Exoskeleton Control

13 citations · 32 across the 15 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.RO2019

Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary

Steven Jens Jorgensen, Michael W. Lanighan, Sylvain S. Bertrand +19

As part of a feasibility study, this paper shows the NASA Valkyrie humanoid robot performing an end-to-end improvised explosive device (IED) response task. To demonstrate and evalu…

eess.SY2019

Adaptive Compliance Shaping with Human Impedance Estimation

Huang Huang, Henry F. Cappel, Gray C. Thomas +2

Human impedance parameters play an integral role in the dynamics of strength amplification exoskeletons. Many methods are used to estimate the stiffness of human muscles, but few a…

math.OC2019

Robust Estimator-Based Safety Verification: A Vector Norm Approach

Binghan He, Gray C. Thomas, Luis Sentis

In this paper, we consider the problem of verifying safety constraint satisfaction for single-input single-output systems with uncertain transfer function coefficients. We propose…

cs.RO2019

Finding Locomanipulation Plans Quickly in the Locomotion Constrained Manifold

Steven Jens Jorgensen, Mihir Vedantam, Ryan Gupta +2

We present a method that finds locomanipulation plans that perform simultaneous locomotion and manipulation of objects for a desired end-effector trajectory. Key to our approach is…

cs.RO2019

Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report

Rishi Shah, Yuqian Jiang, Haresh Karnan +8

RoboCup@Home is an international robotics competition based on domestic tasks requiring autonomous capabilities pertaining to a large variety of AI technologies. Research challenge…

cs.RO2019

Data-Efficient and Safe Learning for Humanoid Locomotion Aided by a Dynamic Balancing Model

Junhyeok Ahn, Jaemin Lee, Luis Sentis

In this letter, we formulate a novel Markov Decision Process (MDP) for safe and data-efficient learning for humanoid locomotion aided by a dynamic balancing model. In our previous…