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Related papers: Tactile Perception in Upper Limb Prostheses: Mecha…

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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

Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating…

Robotics · Computer Science 2025-09-18 Jana Egli , Benedek Forrai , Thomas Buchner , Jiangtao Su , Xiaodong Chen , Robert K. Katzschmann

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

Vision-based tactile sensors (VBTSs) are a promising technology for robots, providing them with dense signals that can be translated into a multi-faceted understanding of contact. However, existing VBTS tactile surfaces make use of silicone…

Robotics · Computer Science 2026-04-10 Benjamin Davis , Hannah Stuart

The flexible under-actuated musculoskeletal hand is superior in its adaptability and impact resistance. On the other hand, since the relationship between sensors and actuators cannot be uniquely determined, almost all its controls are based…

Touch is the first sense among human senses. Not only that, but it is also one of the most important senses that are indispensable. However, compared to sight and hearing, it is often neglected. In particular, since humans use the tactile…

Human-Computer Interaction · Computer Science 2021-12-15 Myoung-Ki Kim , Jeong-Hyun Cho , Hye-Bin Shin

Knowledge of the 6D pose of an object can benefit in-hand object manipulation. In-hand 6D object pose estimation is challenging because of heavy occlusion produced by the robot's grippers, which can have an adverse effect on methods that…

Perceptual processes are frequently multi-modal. This is the case of haptic perception. Data sets of visual and haptic sensory signals have been compiled in the past, especially when it comes to the exploration of textured surfaces. These…

Robotics · Computer Science 2023-09-19 Alexis W. M. Devillard , Aruna Ramasamy , Damien Faux , Vincent Hayward , Etienne Burdet

This work presents an overarching perspective on the role that machine intelligence can play in enhancing human abilities, especially those that have been diminished due to injury or illness. As a primary contribution, we develop the…

Artificial Intelligence · Computer Science 2017-11-13 Patrick M. Pilarski , Richard S. Sutton , Kory W. Mathewson , Craig Sherstan , Adam S. R. Parker , Ann L. Edwards

Proprioception, a key sensory modality in haptic perception, plays a vital role in perceiving the 3D structure of objects by providing feedback on the position and movement of body parts. The restoration of proprioceptive sensation is…

Robotics · Computer Science 2025-05-26 Fengyi Wang , Xiangyu Fu , Nitish Thakor , Gordon Cheng

While tactile skins have been shown to be useful for detecting collisions between a robotic arm and its environment, they have not been extensively used for improving robotic grasping and in-hand manipulation. We propose a novel sensor…

Tactile sensing is vital for human dexterous manipulation, however, it has not been widely used in robotics. Compact, low-cost sensing platforms can facilitate a change, but unlike their popular optical counterparts, they are difficult to…

Robotics · Computer Science 2025-03-10 Adrian Röfer , Nick Heppert , Abdallah Ayad , Eugenio Chisari , Abhinav Valada

Developments in touch-sensitive textiles have enabled many novel interactive techniques and applications. Our digitally-knitted capacitive active sensors can be manufactured at scale with little human intervention. Their sensitive areas are…

Human-Computer Interaction · Computer Science 2023-03-21 Denisa Qori McDonald , Richard Valett , Lev Saunders , Genevieve Dion , Ali Shokoufandeh

This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors provide…

While visual and auditory information are prevalent in modern multimedia systems, haptic interaction, e.g., tactile and kinesthetic interaction, provides a unique form of human perception. However, multimedia technology for contact…

Human-Computer Interaction · Computer Science 2024-12-25 Dazhong He , Qian Liu

Tactile sensing allows robots to gather detailed geometric information about objects through physical interaction, complementing vision-based approaches. However, efficiently acquiring useful tactile data remains challenging due to the…

Robotics · Computer Science 2026-02-27 Chung Hee Kim , Shivani Kamtikar , Tye Brady , Taskin Padir , Joshua Migdal

This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active sampling problem in the context of tactile fabric recognition and…

This study seeks to understand conditions under which virtual gratings produced via vibrotaction and friction modulation are perceived as similar and to find physical origins in the results. To accomplish this, we developed two single-axis…

Human-Computer Interaction · Computer Science 2021-04-01 Roman V. Grigorii , Yifei Li , Michael A. Peshkin , J. Edward Colgate

Partial hand amputations significantly affect the physical and psychosocial well-being of individuals, yet intuitive control of externally powered prostheses remains an open challenge. To address this gap, we developed a force-controlled…

Intuitive control of prostheses relies on training algorithms to correlate biological recordings to motor intent. The quality of the training dataset is critical to run-time performance, but it is difficult to label hand kinematics…

Robotics · Computer Science 2020-01-27 Jacob A. George , Troy N. Tully , Paul C. Colgan , Gregory A. Clark
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