首页|Researcher at Nagoya University Discusses Research in Robotics (Virtual Hand Def ormation-Based Pseudo-Haptic Feedback for Enhanced Force Perception and Task Per formance in Physically Constrained Teleoperation)

Researcher at Nagoya University Discusses Research in Robotics (Virtual Hand Def ormation-Based Pseudo-Haptic Feedback for Enhanced Force Perception and Task Per formance in Physically Constrained Teleoperation)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Nagoya, Japan, by NewsRx e ditors, the research stated, “Force-feedback devices enhance task performance in most robot teleoperations. However, their increased size with additional degree s of freedom can limit the robot’s applicability.” Funders for this research include Jst Sicorp. Our news journalists obtained a quote from the research from Nagoya University: “To address this, an interface that visually presents force feedback is proposed , eliminating the need for bulky physical devices. Our telepresence system rende rs robotic hands transparent in the camera image while displaying virtual hands. The forces applied to the robot deform these virtual hands. The deformation cre ates an illusion that the operator’s hands are deforming, thus providing pseudo- haptic feedback. We conducted a weight comparison experiment in a virtual realit y environment to evaluate force sensitivity. In addition, we conducted an object touch experiment to assess the speed of contact detection in a robot teleoperat ion setting. The results demonstrate that our method significantly surpasses con ventional pseudo-haptic feedback in conveying force differences. Operators detec ted object touch 24.7% faster using virtual hand deformation compa red to conditions without feedback.”

Nagoya UniversityNagoyaJapanAsiaEmerging TechnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.14)