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Gray C. Thomas

11 accepted papers

2025

Characterization of a Quasi-Direct Drive Knee Perturbation System for Mechanical Impedance Estimation

RA-L 2025

The mechanical impedance of the human lower-limb joints during locomotion encodes our understanding of how the neuromotor system regulates the behavior of these tasks. Impedance is also a key component of several strategies for translating this behavior to robots, powered prosthetic limbs, and peopl

Cited by 1SourceScholar
2025

Empirically Compensated Setpoint Tracking for Spherical Robots With Pressurized Soft-Shells

RA-L 2025

Replacing spherical robots' hard shells with soft, pressurized tires has the potential to improve their off-road practicality immensely. This change leverages spherical robots as a simple and rugged solution to problems currently addressed using wheeled or tracked vehicles. Though numerous prototype

Cited by 2SourceScholar
2024

Robustification of Bayesian-Inference-Based Gait Estimation for Lower-Limb Wearable Robots

RA-L 2024

Lower-limb wearable robots designed to assist people in everyday activities must reliably recover from any momentary confusion about what the user is doing. Such confusion might arise from momentary sensor failure, collision with an obstacle, losing track of gait due to an out-of-distribution stride

Cited by 4SourceScholar
2023

A Sensitivity Analysis of an Economic Value Metric for Quantifying the Success of Lower-Limb Exoskeletons and Their Assistance

IROS 2023poster

Modern exoskeletons are typically developed to optimize for a single, physiological objective, the “gold standard” of which is a reduction of the wearer's metabolic rate. However, recent research suggests that these changes in metabolic rate are not yet perceivable on average. To address this gap, t…

Cited by 0SourceScholar
2023

An Energetic Approach to Task-Invariant Ankle Exoskeleton Control

IROS 2023poster

Robotic ankle exoskeletons have been shown to reduce human effort during walking. However, existing ankle exoskeleton control approaches are limited in their ability to apply biomimetic torque across diverse tasks outside of the controlled lab environment. Energy shaping control can provide task-inv…

Cited by 4SourceScholar
2022

Enhancing Voluntary Motion With Modular, Backdrivable, Powered Hip and Knee Orthoses

RA-L 2022

Mobility disabilities are prominent in society with wide-ranging deficits, motivating modular, partial-assist, lower-limb exoskeletons for this heterogeneous population. This paper introduces the Modular Backdrivable Lower-limb Unloading Exoskeleton (M-BLUE), which implements high torque, low mechan

Cited by 53SourceScholar
2021

Convex Optimization for Spring Design in Series Elastic Actuators: From Theory to Practice

IROS 2021poster

Natural dynamics, nonlinear optimization, and, more recently, convex optimization are available methods for stiffness design of energy-efficient series elastic actuators. Natural dynamics and general nonlinear optimization only work for a limited set of load kinetics and kinematics, cannot guarantee…

Cited by 9SourceScholar
2019

Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons

IROS 2019poster

Human joint dynamic stiffness plays an important role in the stability of performance augmentation exoskeletons. In this paper, we consider a new frequency domain model of the human joint dynamics which features a complex value stiffness. This complex stiffness consists of a real stiffness and a hys…

Cited by 8SourceScholar
2017

Analyzing achievable stiffness control bounds of robotic hands with coupled finger joints

ICRA 2017poster

The mechanical design of robotic hands has been converging towards low-inertia, tendon-driven strategies. As tendon driven robotic fingers are serial chain systems, routing strategies with compliant tendons lead to multi-articular coupling between the degrees of freedom. We propose a generalized ana…

Cited by 18SourceScholar