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This paper presents a VR-based guide dog training system designed to assist novice trainers in understanding guide dog behavior and issuing appropriate training commands. Guide dogs play a vital role in supporting independent mobility for…

Human-Computer Interaction · Computer Science 2025-10-29 Qirong Zhu , Ansheng Wang , Shinji Tanaka , Yasutoshi Makino , Hiroyuki Shinoda

BACKGROUND: Learning to perform new movements is usually achieved by following visual demonstrations. Haptic guidance by a force feedback device is a recent and original technology which provides additional proprioceptive cues during…

Medical Physics · Physics 2008-12-18 Jérémy Bluteau , Sabine Coquillart , Yohan Payan , Edouard Gentaz

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…

Navigating peripersonal space requires reaching targets in both horizontal (e.g., desks) and vertical (e.g., shelves) layouts with high precision. We developed a haptic glove to aid peri-personal target navigation and investigated the…

Human-Computer Interaction · Computer Science 2025-10-13 Mahdis Tajdari , Jason Forsyth , Sol Lim

Hand-held haptic devices can allow for greater freedom of motion and larger workspaces than traditional grounded haptic devices. They can also provide more compelling haptic sensations to the users' fingertips than many wearable haptic…

Robotics · Computer Science 2019-03-11 Julie M. Walker , Nabil Zemiti , Philippe Poignet , Allison M. Okamura

The provision of robotic assistance during motor training has proven to be effective in enhancing motor learning in some healthy trainee groups as well as patients. Personalizing such robotic assistance can help further improve motor…

Humans can leverage physical interaction to teach robot arms. As the human kinesthetically guides the robot through demonstrations, the robot learns the desired task. While prior works focus on how the robot learns, it is equally important…

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure…

Human-Computer Interaction · Computer Science 2021-07-14 Vivek Ramachandran , Fabian Schilling , Amy R Wu , Dario Floreano

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus cannot easily benefit from feedback after initiating contact.…

Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role in several applications, from healthcare to operations in harsh environments. While visual feedback from cameras can provide valuable…

Robotics · Computer Science 2024-12-04 Gabriele Giudici , Claudio Coppola , Kaspar Althoefer , Ildar Farkhatdinov , Lorenzo Jamone

A human operator using a manual control interface has ready access to their own command signal, both by efference copy and proprioception. In contrast, a human supervisor typically relies on visual information alone. We propose supplying a…

Human-Computer Interaction · Computer Science 2024-03-01 Alia Gilbert , Sachit Krishnan , R. Brent Gillespie

The thesis presents contributions made to the evaluation and design of a haptic guidance system on improving driving performance in cases of normal and degraded visual information, which are based on behavior experiments, modeling and…

Robotics · Computer Science 2021-04-26 Zheng Wang

We present a controller that allows an arm-like manipulator to navigate deformable cloth garments in simulation through the use of haptic information. The main challenge of such a controller is to avoid getting tangled in, tearing or…

Robotics · Computer Science 2017-08-02 Alexander Clegg , Wenhao Yu , Zackory Erickson , Jie Tan , C. Karen Liu , Greg Turk

Haptic technology, or haptics, is a tactile feedback technology which takes advantage of a user's sense of touch by applying forces, vibrations, and/or motions upon the user. This mechanical stimulation may be used to assist in the creation…

Human-Computer Interaction · Computer Science 2013-09-03 S. Sri Gurudatta Yadav , R. V. Krishnaiah

Haptic feedback is an important component of creating an immersive mixed reality experience. Traditionally, haptic forces are rendered in response to the user's interactions with the virtual environment. In this work, we explore the idea of…

Robotics · Computer Science 2023-03-01 Niall L. Williams , Nicholas Rewkowski , Jiasheng Li , Ming C. Lin

The current generation of surgeons requires extensive training in teleoperation to develop specific dexterous skills, which are independent of medical knowledge. Training curricula progress from manipulation tasks to simulated surgical…

Robotics · Computer Science 2019-07-23 Gustavo D. Gil , Julie M. Walker , Nabil Zemiti , Allison M. Okamura , Philippe Poignet

A successful grasp requires careful balancing of the contact forces. Deducing whether a particular grasp will be successful from indirect measurements, such as vision, is therefore quite challenging, and direct sensing of contacts through…

Nowadays, robots are found in a growing number of areas where they collaborate closely with humans. Enabled by lightweight materials and safety sensors, these cobots are gaining increasing popularity in domestic care, supporting people with…

Human-Computer Interaction · Computer Science 2023-06-26 Max Pascher , Til Franzen , Kirill Kronhardt , Jens Gerken

Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's intentions and actions. This is remedied by a myriad of…

Robotics · Computer Science 2022-03-03 Yiming Liu , Raz Leib , William Dudley , Ali Shafti , A. Aldo Faisal , David W. Franklin

Dexterous manipulation through imitation learning has gained significant attention in robotics research. The collection of high-quality expert data holds paramount importance when using imitation learning. The existing approaches for…

Robotics · Computer Science 2023-09-27 Dehao Wei , Huazhe Xu
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