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Related papers: Towards Biosignals-Free Autonomous Prosthetic Hand…

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Humans can steadily and gently grasp unfamiliar objects based on tactile perception. Robots still face challenges in achieving similar performance due to the difficulty of learning accurate grasp-force predictions and force control…

Robotics · Computer Science 2025-02-05 Mingxuan Li , Lunwei Zhang , Tiemin Li , Yao Jiang

Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects. We aim to utilize the dexterity of human hands to regulate the contact forces for robotic hands and exploit human…

Robotics · Computer Science 2021-02-12 Ruoshi Wen , Kai Yuan , Qiang Wang , Shuai Heng , Zhibin Li

The functional replication and actuation of complex structures inspired by nature is a longstanding goal for humanity. Creating such complex structures combining soft and rigid features and actuating them with artificial muscles would…

Achieving human-level dexterity in robotic grasping remains a challenging endeavor. Robotic hands frequently encounter slippage and deformation during object manipulation, issues rarely encountered by humans due to their sensory receptors,…

Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to control a 5 degree of freedom robotic and…

Human-Computer Interaction · Computer Science 2016-03-10 Daniel Elstob , Emanuele Lindo Secco

Assistive devices for indivuals with upper-limb movement often lack controllability and intuitiveness, in particular for grasping function. In this work, we introduce a novel user interface for grasping movement control in which the user…

Quantitative Methods · Quantitative Biology 2023-06-28 Etienne Moullet , François Bailly , Justin Carpentier , Christine Azevedo Coste

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

Palpation, the use of touch in medical examination, is almost exclusively performed by humans. We investigate a proof of concept for an artificial palpation method based on self-supervised learning. Our key idea is that an encoder-decoder…

Machine Learning · Computer Science 2025-11-21 Zohar Rimon , Elisei Shafer , Tal Tepper , Efrat Shimron , Aviv Tamar

The issues of research required in the field of bio medical engineering and externally-powered prostheses are attracting attention of regulatory bodies and the common people in various parts of the globe. Today, 90 percent of prostheses…

Human-Computer Interaction · Computer Science 2014-01-22 Fahad Moazzam Dar , Umer Asgher , Daniyal Malik , Emmad Adil , Hassan Shahzad , Anees Ali

Building robotic prostheses requires a sensor-based interface designed to provide the robotic hand with the control required to perform hand gestures. Traditional Electromyography (EMG) based prosthetics and emerging alternatives often face…

Robotics · Computer Science 2025-07-15 Dean Zadok , Oren Salzman , Alon Wolf , Alex M. Bronstein

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

Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation…

Mobility impairment caused by limb loss is a significant challenge faced by millions of individuals worldwide. The development of advanced assistive technologies, such as prosthetic devices, has the potential to greatly improve the quality…

Machine Learning · Computer Science 2024-03-13 Sharmita Dey , Sarath R. Nair

The sophisticated sense of touch of the human hand significantly contributes to our ability to safely, efficiently, and dexterously manipulate arbitrary objects in our environment. Robotic and prosthetic devices lack refined, tactile…

Robotics · Computer Science 2021-08-02 Xiaying Wang , Fabian Geiger , Vlad Niculescu , Michele Magno , Luca Benini

Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardware-heavy, and disruptive to workflows. Recently, passive…

Robotics · Computer Science 2025-09-30 Rohan Walia , Yusheng Wang , Ralf Römer , Masahiro Nishio , Angela P. Schoellig , Jun Ota

Objective: For transradial amputees, robotic prosthetic hands promise to regain the capability to perform daily living activities. Current control methods based on physiological signals such as electromyography (EMG) are prone to yielding…

Any part of the human body replication procedure commences the prosthetic control science. This paper highlights the hardware design technique of a prosthetic arm with implementation of gear motor control aspect. The prosthetic control arm…

Robotics · Computer Science 2011-11-10 Biswarup Neogi , Soumyajit Mukherjee , Soumya Ghosal , Achintya Das , D. N. Tibarewala

Despite recent advancements, existing prosthetic limbs are unable to replicate the dexterity and intuitive control of the human hand. Current control systems for prosthetic hands are often limited to grasping, and commercial prosthetic…

Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have…

Robotics · Computer Science 2018-02-02 Cassie Meeker , Sangwoo Park , Lauri Bishop , Joel Stein , Matei Ciocarlie

Recent advancements in prosthetic technology have increasingly focused on enhancing dexterity and autonomy through intelligent control systems. Vision-based approaches offer promising results for enabling prosthetic hands to interact more…

Robotics · Computer Science 2025-12-09 Shifa Sulaiman , Akash Bachhar , Ming Shen , Simon Bøgh