English
Related papers

Related papers: Dual-Modality Haptic Feedback Improves Dexterous T…

200 papers

Haptic feedback is essential for human-machine interaction, as it bridges physical and digital experiences and enables immersive engagement with virtual environments. However, current haptic devices are frequently tethered, lack portability…

Human-Computer Interaction · Computer Science 2025-11-26 Ziang Cui , Shanyong Wang , Yining Zhao , Yiran Wang , Xingming Wen , Siyuan Chen , Ze Xiong

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with biological micro-objects. At these scales, manipulation is…

Robotics · Computer Science 2026-04-14 Kangyi Lu , Lan Wei , Zongcai Tan , Dandan Zhang

The human somatosensory cortex is intimately linked to other central brain functions such as vision, audition, mechanoreception, and motor planning and control. These links are established through brain learning, and display a considerable…

Robotics · Computer Science 2021-01-19 Birgitta Dresp-Langley

Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on…

Human-Computer Interaction · Computer Science 2019-10-07 Ben Nicholls , Chee Siang Ang , Eiman Kanjo , Panote Siriaraya , Woon-Hong Yeo , Athanasios Tsanas

We propose a method that simultaneously estimates and controls extrinsic contact with tactile feedback. The method enables challenging manipulation tasks that require controlling light forces and accurate motions in contact, such as…

Robotics · Computer Science 2023-03-07 Sangwoon Kim , Devesh K. Jha , Diego Romeres , Parag Patre , Alberto Rodriguez

It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments. Towards building scalable systems that can perform diverse manipulation tasks over various 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yan Zhao , Ruihai Wu , Zhehuan Chen , Yourong Zhang , Qingnan Fan , Kaichun Mo , Hao Dong

This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper limb impairments. Operating within a collaborative grasping…

Quantitative Methods · Quantitative Biology 2024-10-10 Etienne Moullet , Justin Carpentier , Christine Azevedo Coste , François Bailly

We introduce an efficient approach for learning dexterous grasping with minimal data, advancing robotic manipulation capabilities across different robotic hands. Unlike traditional methods that require millions of grasp labels for each…

Robotics · Computer Science 2025-02-25 Hao-Shu Fang , Hengxu Yan , Zhenyu Tang , Hongjie Fang , Chenxi Wang , Cewu Lu

Safe navigation for the visually impaired individuals remains a critical challenge, especially concerning head-level obstacles, which traditional mobility aids often fail to detect. We introduce GuideTouch, a compact, affordable, standalone…

Recent human computer-interaction (HCI) studies using electromyography (EMG) and inertial measurement units (IMUs) for upper-limb gesture recognition have claimed that inertial measurements alone result in higher classification accuracy…

Signal Processing · Electrical Eng. & Systems 2020-11-16 Evan Campbell , Angkoon Phinyomark , Erik Scheme

Pseudo-haptic techniques are becoming increasingly popular in human-computer interaction. They replicate haptic sensations by leveraging primarily visual feedback rather than mechanical actuators. These techniques bridge the gap between the…

Human-Computer Interaction · Computer Science 2024-07-04 Rui Xavier , José Luís Silva , Rodrigo Ventura , Joaquim Jorge

Precise and elegant coordination of a prosthesis across many degrees of freedom represents a significant challenge to efficient rehabilitation of people with limb deficiency. Processing the electrical neural signals, collected from the…

Quantum Physics · Physics 2015-02-16 Michael Siomau , Ning Jiang

This exploratory pilot study investigates the impact of haptic perception --specifically tactile sensitivity (touch) and kinaesthetic intensity (movement)-- on learning, operationalized as information retention (immediate recall) through…

Human-Computer Interaction · Computer Science 2026-03-06 Bibeg Limbu , Irene-Angelica Chounta

Telerobotics enables humans to overcome spatial constraints and physically interact with the environment in remote locations. However, the sensory feedback provided by the system to the user is often purely visual, limiting the user's…

Humans process significantly more information through the sense of touch than through vision. Consequently, haptics for telemanipulation is poised to become essential in the coming years, as it offers operators an additional sensory channel…

Robotics · Computer Science 2025-02-25 Julien Mellet , Fabio Ruggiero , Vincenzo Lippiello

Haptic feedback provides an essential sensory stimulus crucial for interaction and analyzing three-dimensional spatio-temporal phenomena on surface visualizations. Given its ability to provide enhanced spatial perception and scene…

Human-Computer Interaction · Computer Science 2024-09-11 Hamza Afzaal , Usman Alim

Wearable electronic equipment is constantly evolving and is increasing the integration of humans with technology. Available in various forms, these flexible and bendable devices sense and can measure the physiological and muscular changes…

Robotics · Computer Science 2022-01-10 Tauheed Khan Mohd , Jackson Carvalho , Ahmad Y Javaid

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…

One of the trendsetting themes in soft robotics has been the goal of developing the ultimate universal soft robotic gripper. One that is capable of manipulating items of various shapes, sizes, thicknesses, textures, and weights. All the…

Robotics · Computer Science 2024-05-17 Ryo Kanno , Pham H. Nguyen , Joshua Pinskier , David Howard , Sukho Song , Mirko Kovac

Humans activate muscles to shape the mechanical interaction with their environment, but can they harness this control mechanism to best sense the environment? We investigated how participants adapt their muscle activation to visual and…

Human-Computer Interaction · Computer Science 2024-09-11 Xiaoxiao Cheng , Shixian Shen , Ekaterina Ivanova , Gerolamo Carboni , Atsushi Takagi , Etienne Burdet