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Object properties perceived through the tactile sense, such as weight, friction, and slip, greatly influence motor control during manipulation tasks. However, the provision of tactile information during robotic training in…

For Minimally Invasive Surgical (MIS) robots, accurate haptic interaction force feedback is essential for ensuring the safety of interacting with soft tissue. However, most existing MIS robotic systems cannot facilitate direct measurement…

Robotics · Computer Science 2025-01-16 Jiayin Wang , Mingfeng Yao , Yanran Wei , Xiaoyu Guo , Ayong Zheng , Weidong Zhao

Tactile sensing represents a crucial technique that can enhance the performance of robotic manipulators in various tasks. This work presents a novel bioinspired neuromorphic vision-based tactile sensor that uses an event-based camera to…

Robotics · Computer Science 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

Accurate robotic control over interactions with the environment is fundamentally grounded in understanding tactile contacts. In this paper, we introduce MagicTac, a novel high-resolution grid-based tactile sensor. This sensor employs a 3D…

Robotics · Computer Science 2024-02-05 Wen Fan , Haoran Li , Dandan Zhang

With the development of robot electronic skin technology, various tactile sensors, enhanced by AI, are unlocking a new dimension of perception for robots. In this work, we explore how robots equipped with electronic skin can recognize…

Robotics · Computer Science 2025-06-24 Shuo Jiang , Boce Hu , Linfeng Zhao , Lawson L. S. Wong

The human skin exhibits remarkable capability to perceive contact forces and environmental temperatures, providing intricate information essential for nuanced manipulation. Despite recent advancements in soft tactile sensors, a significant…

Deformable object manipulation is a classical and challenging research area in robotics. Compared with rigid object manipulation, this problem is more complex due to the deformation properties including elastic, plastic, and elastoplastic…

Additive manufacturing is enabling soft robots with increasingly complex geometries, creating a demand for sensing solutions that remain compatible with single-material, one-step fabrication. Optical soft sensors are attractive for…

Robotics · Computer Science 2026-02-20 Diana Cafiso , Petr Trunin , Carolina Gay , Lucia Beccai

While visuomotor policy learning has advanced robotic manipulation, precisely executing contact-rich tasks remains challenging due to the limitations of vision in reasoning about physical interactions. To address this, recent work has…

Robotics · Computer Science 2024-10-29 Venkatesh Pattabiraman , Yifeng Cao , Siddhant Haldar , Lerrel Pinto , Raunaq Bhirangi

Skin-like tactile sensors provide robots with rich feedback related to the force distribution applied to their soft surface. The complexity of interpreting raw tactile information has driven the use of machine learning algorithms to convert…

Robotics · Computer Science 2019-12-12 Carmelo Sferrazza , Adam Wahlsten , Camill Trueeb , Raffaello D'Andrea

Whole body tactile perception via tactile skins offers large benefits for robots in unstructured environments. To fully realize this benefit, tactile systems must support real-time data acquisition over a massive number of tactile sensor…

Robotics · Computer Science 2016-03-07 Brayden Hollis , Stacy Patterson , Jeff Trinkle

Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials. However, their widespread adoption is impaired by concerns about data efficiency and the capability to generalize…

Robotics · Computer Science 2020-03-06 Carmelo Sferrazza , Thomas Bi , Raffaello D'Andrea

This paper proposes a novel framework for utilizing skin sensors as a new operation interface of complex robots. The skin sensors employed in this study possess the capability to quantify multimodal tactile information at multiple contact…

This paper explores the implementation of embedded magnets to enhance paper-based interactions. The integration of magnets in paper-based interactions simplifies the fabrication process, making it more accessible for building soft robotics…

Human-Computer Interaction · Computer Science 2024-04-12 Ruhan Yang , Ellen Yi-Luen Do

The sense of touch is essential for reliable mapping between the environment and a robot which interacts physically with objects. Presumably, an artificial tactile skin would facilitate safe interaction of the robots with the environment.…

Tactile and textile skin technologies have become increasingly important for enhancing human-robot interaction and allowing robots to adapt to different environments. Despite notable advancements, there are ongoing challenges in skin signal…

Robotics · Computer Science 2024-04-24 Bo Ying Su , Yuchen Wu , Chengtao Wen , Changliu Liu

We introduce a low-cost method for mounting sensors onto robot links for large-area sensing coverage that does not require the sensor's positions or orientations to be calibrated before use. Using computer aided design (CAD), a robot skin…

Soft robots are powerful tools for manipulating delicate objects, yet their adoption is hindered by two gaps: the lack of integrated tactile sensing and sensor signal distortion caused by actuator deformations. This paper addresses these…

Robotics · Computer Science 2025-12-04 Chengjin Du , Federico Bernabei , Zhengyin Du , Sergio Decherchi , Matteo Lo Preti , Lucia Beccai

This paper presents a novel soft tactile skin (STS) technology operating with sound waves. In this innovative approach, the sound waves generated by a speaker travel in channels embedded in a soft membrane and get modulated due to a…

Robotics · Computer Science 2024-03-01 Vishnu Rajendran S , Willow Mandil , Simon Parsons , Amir Ghalamzan E

Tactile sensing is a crucial perception mode for robots and human amputees in need of controlling a prosthetic device. Today robotic and prosthetic systems are still missing the important feature of accurate tactile sensing. This lack is…

Robotics · Computer Science 2022-03-30 Xiaying Wang , Fabian Geiger , Vlad Niculescu , Michele Magno , Luca Benini