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Following a stroke, individuals often experience mobility and balance impairments due to lower-limb weakness and loss of independent joint control. Gait recovery is a key goal of rehabilitation, traditionally achieved through high-intensity…

Robotic systems can enhance the amount and repeatability of physically guided motor training. Yet their real-world adoption is limited, partly due to non-intuitive trainer/therapist-trainee/patient interactions. To address this gap, we…

Gait phase estimation based on inertial measurement unit (IMU) signals facilitates precise adaptation of exoskeletons to individual gait variations. However, challenges remain in achieving high accuracy and robustness, particularly during…

Robotics · Computer Science 2025-06-19 Yuanlong Ji , Xingbang Yang , Ruoqi Zhao , Qihan Ye , Quan Zheng , Yubo Fan

Work environments are often inadequate and lack inclusivity for individuals with upper-body disabilities. This paper presents a novel online framework for adaptive human-robot interaction (HRI) that accommodates users' arm mobility…

Robotics · Computer Science 2025-10-08 Marta Lagomarsino , Francesco Tassi

Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the effects of dyadic haptic interaction mostly focusing on the…

Robotics · Computer Science 2023-07-24 Emek Barış Küçüktabak , Yue Wen , Matthew Short , Efe Demirbaş , Kevin Lynch , Jose Pons

Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimization procedures, which limit accessibility to clinical populations. To address this…

Robotics · Computer Science 2026-04-13 Itak Choi , Ilseung Park , Eni Halilaj , Inseung Kang

Neurorehabilitation conventionally relies on the interaction between a patient and a physical therapist. Robotic systems can improve and enrich the physical feedback provided to patients after neurological injury, but they under-utilize the…

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A custom, wireless, wearable multi-sensor network is used to…

Haptic upper limb exoskeletons are robots that assist human operators during task execution while having the ability to render virtual or remote environments. Therefore, the stability of such robots in physical human-robot-environment…

Robotics · Computer Science 2023-08-10 Mahdi Hejrati , Jouni Mattila

Human-robot physical interaction contains crucial information for optimizing user experience, enhancing robot performance, and objectively assessing user adaptation. This study introduces a new method to evaluate human-robot co-adaptation…

Robotics · Computer Science 2024-03-12 Mohammad Shushtari , Julia Foellmer , Arash Arami

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

Human-machine interfaces (HMI) play a pivotal role in the rehabilitation and daily assistance of lower-limb amputees. The brain of such interfaces is a control model that detects the user's intention using sensor input and generates…

Computational Engineering, Finance, and Science · Computer Science 2021-10-08 Sharmita Dey , Takashi Yoshida , Robert H. Foerster , Michael Ernst , Thomas Schmalz , Rodrigo M. Carnier , Arndt F. Schilling

Sit-to-Stand (StS) is a fundamental daily activity that can be challenging for stroke survivors due to strength, motor control, and proprioception deficits in their lower limbs. Existing therapies involve repetitive StS exercises, but these…

Wearable inertial measurement units (IMUs) provide a cost-effective approach to assessing human movement in clinical and everyday environments. However, developing the associated classification models for robust assessment of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Andreas Spilz , Heiko Oppel , Jochen Werner , Kathrin Stucke-Straub , Felix Capanni , Michael Munz

One of the typical purposes of using lower-limb exoskeleton robots is to provide assistance to the wearer by supporting their weight and augmenting their physical capabilities according to a given task and human motion intentions. The…

Robotics · Computer Science 2023-09-27 Yu Chen , Gong Chen , Jing Ye , Chenglong Fu , Bin Liang , Xiang Li

Physical movement therapy is a crucial method of rehabilitation aimed at reinstating mobility among patients facing motor dysfunction due to neurological conditions or accidents. Such therapy is usually featured as patient-specific,…

Robotics · Computer Science 2024-12-06 Teng Li

Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, the control of interaction torques in partial-assistance…

Lower limb exoskeletons and prostheses require precise, real time gait phase and step detections to ensure synchronized motion and user safety. Conventional methods often rely on complex force sensing hardware that introduces control…

Robotics · Computer Science 2026-01-19 Anis R. Shakkour , David Hexner , Yehuda Bitton , Avishai Sintov

This paper presents and experimentally demonstrates a novel framework for variable assistance on lower body exoskeletons, based upon safety-critical control methods. Existing work has shown that providing some freedom of movement around a…

Robotics · Computer Science 2019-12-04 Thomas Gurriet , Maegan Tucker , Alexis Duburcq , Guilhem Boeris , Aaron D. Ames

Physical interactive robotics, ranging from wearable devices to collaborative humanoid robots, require close coordination between mechanical design and control. However, evaluating interactive dynamics is challenging due to complex human…

Robotics · Computer Science 2026-03-11 Chenhui Zuo , Jinhao Xu , Michael Qian Vergnolle , Yanan Sui
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