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Anthropomorphic underactuated hands are valued for their structural simplicity and inherent adaptability. However, the uncertainty arising from interdependent joint motions makes it challenging to capture various grasp states during…

Robotics · Computer Science 2025-12-01 Jae-Hyun Lee , Jonghoo Park , Kyu-Jin Cho

In the world of upper limb prostheses, few companies dominate the majority of the market. They propose different kinds of hand, wrist and elbow prostheses but their control is often difficult to understand by the patients. We have decided…

Medical Physics · Physics 2007-11-01 Guillaume Thomann , Vincent Artigue

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

This paper presents design principles for comfort-centered wearable robots and their application in a lightweight and backdrivable knee exoskeleton. The mitigation of discomfort is treated as mechanical design and control issues and three…

Hip exoskeletons are known for their versatility in assisting users across varied scenarios. However, current assistive strategies often lack the flexibility to accommodate for individual walking patterns and adapt to diverse locomotion…

Robotics · Computer Science 2025-03-06 Giulia Ramella , Auke Ijspeert , Mohamed Bouri

Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a method to determine the hand synergies such that they can be…

Robotics · Computer Science 2018-08-02 Tianjian Chen , Maximilian Haas-Heger , Matei Ciocarlie

Scalable learning of dexterous manipulation remains bottlenecked by the difficulty of collecting natural, high-fidelity human demonstrations of multi-finger hands due to occlusion, complex hand kinematics, and contact-rich interactions. We…

Scaling dexterous robot learning is constrained by the difficulty of collecting high-quality demonstrations across diverse operators. Existing wearable interfaces often trade comfort and cross-user adaptability for kinematic fidelity, while…

Grasp synergies represent a useful idea to reduce grasping complexity without compromising versatility. Synergies describe coordination patterns between joints, either in terms of position (joint angles) or effort (joint torques). In both…

Robotics · Computer Science 2020-06-29 Tianjian Chen , Long Wang , Maximilan Haas-Heger , Matei Ciocarlie

Exoskeletons for rehabilitation can help enhance motor recovery in individuals suffering from neurological disorders. Precision in movement execution, especially in arm rehabilitation, is crucial to prevent maladaptive plasticity. However,…

Human-Computer Interaction · Computer Science 2024-12-10 Beatrice Luciani , Alessandra Pedrocchi , Peppino Tropea , Agnese Seregni , Francesco Braghin , Marta Gandolla

The prevalence of mobility impairments due to conditions such as spinal cord injuries, strokes, and degenerative diseases is on the rise globally. Lower-limb exoskeletons have been increasingly recognized as a viable solution for enhancing…

Machine Learning · Computer Science 2023-09-12 Yue Shi , Yihui Zhao

This article presents a new hand architecture with three under-actuated fingers. Each finger performs spatial movements to achieve more complex and varied grasping than the existing planar-movement fingers. The purpose of this hand is to…

Robotics · Computer Science 2021-06-18 Pol Hamon , Damien Chablat , Franck Plestan

Age-related mobility decline is frequently accompanied by a redistribution of joint kinetics, where older adults compensate for reduced ankle function by increasing demand on the hip. Paradoxically, this compensatory shift typically…

Robotics · Computer Science 2026-03-25 Jiefu Zhang , Nikhil V. Divekar , Chandramouli Krishnan , Robert D. Gregg

The use of wearable robots has been widely adopted in rehabilitation training for patients with hand motor impairments. However, the uniqueness of patients' muscle loss is often overlooked. Leveraging reinforcement learning and a…

Robotics · Computer Science 2025-05-15 Shirui Lyu , Vittorio Caggiano , Matteo Leonetti , Dario Farina , Letizia Gionfrida

Balance loss is a significant challenge in lower-limb exoskeleton applications, as it can lead to potential falls, thereby impacting user safety and confidence. We introduce a control framework for omnidirectional recovery step planning by…

Occupational exoskeletons promise to reduce the incidence of musculoskeletal injuries; however, we do not know if their designs allow universal use by all workers. We also do not know how easy the tasks of assembling, donning, doffing, and…

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…

This paper presents design and control innovations of wearable robots that tackle two barriers to widespread adoption of powered exoskeletons, namely restriction of human movement and versatile control of wearable co-robot systems. First,…

Wearable devices like exoskeletons are designed to reduce excessive loads on specific joints of the body. Specifically, single- or two-degrees-of-freedom (DOF) upper-body industrial exoskeletons typically focus on compensating for the…

Robotics · Computer Science 2025-04-15 Emir Mobedi , Gokhan Solak , Arash Ajoudani

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