Electrovibration-based tactile feedback is demonstrated to be a viable and effective modality for robot teleoperation, improving operator responsiveness and sense of presence in contact-rich manipulation tasks, with direct applicability to safety-critical domains such as nuclear maintenance.
Abstract
Enabling operators to perceive and interact with remote environments naturally is a fundamental challenge in robotic teleoperation. This is especially critical in tasks involving physical interaction, where real-time haptic awareness improves operational safety and effectiveness. Existing kinesthetic haptic feedback methods suffer from instability during rigid surface contacts and remain sensitive to communication delays, while visual cue-based force feedback imposes additional cognitive load and limits sustained situational awareness. This work presents a teleoperation interface that conveys remote surface interactions to the operator through electrovibration-based tactile feedback, enabling naturally mapped force reflection while avoiding the stability issues associated with kinesthetic feedback and the latency limitations of mechanical actuators. A user study (N=21) evaluated interface usability, sense of presence, and operator workload under two force reflection conditions: visual feedback and electrovibration-based tactile feedback. Characterisation experiments further assessed path-following accuracy and response time across both conditions. Results show that tactile feedback significantly reduced response time by 15.35% (p=0.002, d=0.96) and increased the sense of presence by 31% (p<0.001, d=0.90) compared to visual feedback, while imposing comparable workload and usability across both conditions. These findings demonstrate that electrovibration-based tactile feedback is a viable and effective modality for robot teleoperation, improving operator responsiveness and sense of presence in contact-rich manipulation tasks, with direct applicability to safety-critical domains such as nuclear maintenance.
Touch encoding and display is still an unmet need in advanced robotics and telepresence, although somatosensation is crucial to enable safe human-machine cooperation and remote interaction. This study presents an Integrated Neuromorphic Tactile-Haptic Interface System (INTHIS) enabling a human operator to perceive ta...
It is suggested that spatially distributed tactile feedback is essential for closing the gap between human and teleoperated dexterity and training the next generation of autonomous robots.
Rohan Kota, Gregory Reardon, J. Colgate· 0 citations
Modern haptic devices typically employ motors for feedback which are reliable but bulky, limiting the user’s range of motion and mobility. Significantly lighter Shape Memory Alloys (SMAs) such as nitinols present a promising alternative. However, they suffer from thermal and electrical constraints and require thermal m...
Michael Efraimidis, K. Mania· Proceedings of the 2026 ACM...· 0 citations
Teleoperation is becoming increasingly important for collecting high-quality demonstrations to teach robots dexterous manipulation skills. For dexterous manipulation, bare-hand tracking provides a practical way to control robotic hands and demonstrate coordinated finger movements without gloves or exoskeletons. However...
Youngchan Shim, Kyutae Lee, JooYun Kim et al.· 0 citations
In-contact teleoperation tasks, such as surface polishing and fragile object manipulation, require coordinated control of motion and interaction force as well as timely adjustments from the human operator. This paper presents a wearable multimodal teleoperation framework that integrates a data-driven wearable control i...
Yu-Wei Du, Liang Lu, Jing Jin et al.· 2026 IEEE 22nd International...· 0 citations
Teleoperated robots, such as uncrewed ground vehicles (UGVs), are deployed in complex or hazardous settings where operators must handle multiple tasks. UGVs can provide visual and haptic feedback during control. This study examined how haptic feedback affects performance and perceived workload under single- and dual-ta...
Ryan Lupul, Kathryn J. Schulze, Christopher W. Holland et al.· Proceedings of the Human Fac...· 0 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.