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The natural impedance, or dynamic relationship between force and motion, of a human operator can determine the stability of exoskeletons that use interaction-torque feedback to amplify human strength. While human impedance is typically…

Robotics · Computer Science 2020-09-29 Binghan He , Huang Huang , Gray C. Thomas , Luis Sentis

Powered lower limb exoskeletons are a viable solution for people with a spinal cord injury to regain mobility for their daily activities. However, the commonly employed rigid actuation and pre-programmed trajectories increase the risk of…

Creating haptic interfaces capable of rendering the rich sensation needed for dexterous manipulation is crucial for the advancement of human-in-the-loop telerobotic systems (HiLTS). One limiting factor has been the absence of detailed…

Robotics · Computer Science 2021-07-23 Mohit Singhala , Jeremy D. Brown

The utility of Human-in-the-loop telerobotic systems (HiLTS) is driven in part by the quality of feedback it can provide to the operator. While the dynamic interaction between robot and environment can often be sensed or modeled, the…

Robotics · Computer Science 2021-07-26 Mohit Singhala , Jeremy D. Brown

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.…

Robotics · Computer Science 2020-05-04 Binghan He , Huang Huang , Gray C. Thomas , Luis Sentis

This paper presents a versatile cable-driven robotic interface to investigate the single-joint joint neuromechanics of the hip, knee and ankle. This endpoint-based interface offers highly dynamic interaction and accurate position control,…

Robotics · Computer Science 2020-06-23 Hsien-Yung Huang , Ildar Farkhatdinov , Arash Arami , Mohamed Bouri , Etienne Burdet

Adapting upper-limb impedance (i.e., stiffness, damping, inertia) is essential for humans interacting with dynamic environments for executing grasping or manipulation tasks. On the other hand, control methods designed for state-of-the-art…

Robotics · Computer Science 2022-12-20 Laura Ferrante , Mohan Sridharan , Claudio Zito , Dario Farina

Obstacle crossing is an essential component of human locomotion, particularly for individuals with lower limb amputations who face elevated risks of imbalance and falls. While prior studies have explored this task, they often lack a…

Medical Physics · Physics 2025-09-24 Jingwen Huang , Shucong Yin , Zhaokai Chen , Hanyang Xu , Chenglong Fu

Muscle fibres possess unique visco-elastic properties, capable of generating a stabilising zero-delay response to unexpected perturbations. This instantaneous response -- termed "preflex" -- is crucial in the presence of neuro-transmission…

Biological Physics · Physics 2022-02-07 Fabio Izzi , An Mo , Syn Schmitt , Alexander Badri-Spröwitz , Daniel F. B. Haeufle

The sit-to-stand movement is a key feature for wide adoption of powered lower limb orthoses for patients with complete paraplegia. In this paper we study the control of the ascending phase of the sit-to-stand movement for a minimally…

Systems and Control · Computer Science 2020-11-26 Octavio Narvaez-Aroche , Pierre-Jean Meyer , Stephen Tu , Andrew Packard , Murat Arcak

Balance control is important for human and bipedal robotic systems. While dynamic balance during locomotion has received considerable attention, quantitative understanding of static balance and falling remains limited. This work presents a…

Robotics · Computer Science 2025-09-09 Chengtian Ma , Yunyue Wei , Chenhui Zuo , Chen Zhang , Yanan Sui

Passive elastic elements can contribute to stability, energetic efficiency, and impact absorption in both biological and robotic systems. They also add dynamical complexity which makes them more challenging to model and control. The impact…

Robotics · Computer Science 2019-09-30 Ali Marjaninejad , Jie Tan , Francisco J. Valero-Cuevas

Reinforcement-learned locomotion enables legged robots to perform highly dynamic motions but often accompanies time-consuming manual tuning of joint stiffness. This paper introduces a novel control paradigm that integrates variable…

Robotics · Computer Science 2025-04-23 Dario Spoljaric , Yashuai Yan , Dongheui Lee

This paper focuses on the analysis of human gait cycle dynamics and presents a mathematical model to determine the torque exerted on the lower limb joints throughout the complete gait cycle, including its various phases. The study involved…

Robotics · Computer Science 2023-10-17 Barath Kumar JK , Aswadh Khumar G S

This study investigates how the viscoelasticity of the muscle changes during static stretching by measuring the state of the muscle during stretching using continuous time-series data. We used a device that applied a force to the muscle…

Biological Physics · Physics 2025-09-22 Yo Kobayashi , Daiki Matsuyama

We consider a cylinder immersed in viscous fluid moving near a flat substrate covered by an incompressible viscoelastic fluid layer, and study the effect of the fluid viscoelasticity on the lift force exerted on the cylinder. The lift force…

Fluid Dynamics · Physics 2023-08-22 Shiyuan Hu , Fanlong Meng , Masao Doi

Knowledge on joint impedance during walking in various conditions is relevant for clinical decision-making and the development of robotic gait trainers, leg prostheses, leg orthotics and wearable exoskeletons. Whereas ankle impedance during…

The present paper is devoted to a theoretical analysis of sliding friction under the influence of oscillations perpendicular to the sliding plane. In contrast to previous works we analyze the influence of the stiffness of the tribological…

Chaotic Dynamics · Physics 2017-03-23 Mikhail Popov , Valentin L. Popov , Nikita V. Popov

Elastic stress concentration at tips of long slender objects moving in viscoelastic fluids has been observed in numerical simulations, but despite the prevalence of flagellated motion in complex fluids in many biological functions, the…

Fluid Dynamics · Physics 2019-03-27 Chuanbin Li , Becca Thomases , Robert D. Guy

Quantitative estimation of human joint motion in daily living spaces is essential for early detection and rehabilitation tracking of neuromusculoskeletal disorders (e.g., Parkinson's) and mitigating trip and fall risks for older adults.…

Human-Computer Interaction · Computer Science 2025-03-24 Yiwen Dong , Jessica Rose , Hae Young Noh
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