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Robot-to-human handovers often rely on static, open-loop strategies (or, at best, approaches that adapt only the position), which generally do not consider how the object will be grasped by the human, thus requiring the user to adapt. This…

Robotics · Computer Science 2026-04-27 Federico Biagi , Dario Onfiani , Simone Silenzi , Cristina Iani , Luigi Biagiotti

Assistive robotic devices can increase the independence of individuals with motor impairments. However, each person is unique in their level of injury, preferences, and skills, which moreover can change over time. Further, the amount of…

Robotics · Computer Science 2020-08-04 Mahdieh Nejati Javaremi , Brenna D. Argall

The main purpose of the paper is development, implementation, and testing of a low-cost portable system to assist partially paralyzed patients in their hand rehabilitation after strokes or some injures. Rehabilitation includes time…

Human-Computer Interaction · Computer Science 2025-03-18 Hussein Naeem Hasan

Occupational exoskeletons promise to alleviate musculoskeletal injuries among industrial workers. Knowledge of the usability of the exoskeleton designs with respect to the user device interaction points, and the problems in design features,…

Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living successfully. The success of these robot systems, however,…

Robotics · Computer Science 2021-02-26 Ali Shafti , A. Aldo Faisal

Open Arms is a novel open-source platform of realistic human-like robotic hands and arms hardware with 28 Degree-of-Freedom (DoF), designed to extend the capabilities and accessibility of humanoid robotic grasping and manipulation. The Open…

Without finger function, people with C5-7 spinal cord injury (SCI) regularly utilize wrist extension to passively close the fingers and thumb together for grasping. Wearable assistive grasping devices often focus on this familiar…

Robotics · Computer Science 2025-01-13 Erin Y. Chang , Andrew I. W. McPherson , Hannah S. Stuart

Achieving human-level dexterity in robotic hands remains a fundamental challenge for enabling versatile manipulation across diverse applications. This extended abstract presents BiDexHand, a cable-driven biomimetic robotic hand that…

Robotics · Computer Science 2025-10-07 Zhengyang Kris Weng

The artificial hands for sociable robotics and prosthetics are expected to be touched by other people. Because the skin is the main interface during the contact, a need arises to duplicate humanlike characteristics for artificial skins for…

Many amputees throughout the world are left with limited options to personally own a prosthetic arm due to the expensive cost, mechanical system complexity, and lack of availability. The three main control methods of prosthetic hands are:…

Artificial Intelligence · Computer Science 2021-03-04 Alishba Imran , William Escobar , Freidoon Barez

When we go for a walk with friends, we can observe an interesting effect: From step lengths to arm movements - our movements unconsciously align; they synchronize. Prior research found that this synchronization is a crucial aspect of human…

Human-Computer Interaction · Computer Science 2023-05-01 Wieslaw Bartkowski , Andrzej Nowak , Filip Ignacy Czajkowski , Albrecht Schmidt , Florian Müller

In recent years, quadruped robots have attracted significant attention due to their practical advantages in maneuverability, particularly when navigating rough terrain and climbing stairs. As these robots become more integrated into various…

Robotics · Computer Science 2024-09-02 Soohyun Shin , Trevor Evetts , Hunter Saylor , Hyunji Kim , Soojin Woo , Wonhwha Rhee , Seong-Woo Kim

Dexterous robotic manipulation in unstructured environments can aid in everyday tasks such as cleaning and caretaking. Anthropomorphic robotic hands are highly dexterous and theoretically well-suited for working in human domains, but their…

Robotics · Computer Science 2023-12-27 Zilin Si , Kevin Zhang , Oliver Kroemer , F. Zeynep Temel

Human-robot object handover is a crucial element for assistive robots that aim to help people in their daily lives, including elderly care, hospitals, and factory floors. The existing approaches to solving these tasks rely on pre-selected…

Robotics · Computer Science 2025-08-06 Lucas Chen , Guna Avula , Hanwen Ren , Zixing Wang , Ahmed H. Qureshi

This article presents a vision for the future of prosthetic devices, leveraging the advancements in large language models (LLMs) and Large Multimodal Models (LMMs) to revolutionize the interaction between humans and assistive technologies.…

Robotics · Computer Science 2024-03-12 Sharmita Dey , Arndt F. Schilling

High-DOF dexterous hands require compact actuation, rich sensing, and reliable thermal behavior, but conventional designs often occupy valuable in-hand space, increase end-effector mass, and suffer from heat accumulation near the hand.…

Robotics · Computer Science 2026-04-21 Zhuoheng Li , Qingquan Lin , Checheng Yu , Qiangyu Chen , Zhiqian Lan , Lutong Zhang , Hongyang Li , Ping Luo

Teleoperation enables a user to perform dangerous tasks (e.g., work in disaster zones or in chemical plants) from a remote location. Nevertheless, common approaches often provide cumbersome and unnatural usage. In this letter, we propose…

Robotics · Computer Science 2024-01-18 Alon Mizrahi , Avishai Sintov

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…

In previous work, the authors proposed a data-driven optimisation algorithm for the personalisation of human-prosthetic interfaces, demonstrating the possibility of adapting prosthesis behaviour to its user while the user performs tasks…

Robotics · Computer Science 2020-03-04 Ricardo Garcia-Rosas , Tianshi Yu , Denny Oetomo , Chris Manzie , Ying Tan , Peter Choong

A number of studies have proposed to use domain adaptation to reduce the training efforts needed to control an upper-limb prosthesis exploiting pre-trained models from prior subjects. These studies generally reported impressive reductions…

Machine Learning · Computer Science 2017-02-28 Valentina Gregori , Arjan Gijsberts , Barbara Caputo
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