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High-resolution tactile sensing can provide accurate information about local contact in contact-rich robotic tasks. However, the deployment of such tasks in unstructured environments remains under-investigated. To improve the robustness of…

Robotics · Computer Science 2023-08-03 Yijiong Lin , Mauro Comi , Alex Church , Dandan Zhang , Nathan F. Lepora

Effective communication of robotic touch intent is a key factor in promoting safe and predictable physical human-robot interaction (pHRI). While intent communication has been widely studied, existing approaches lack the spatial specificity…

Human-Computer Interaction · Computer Science 2025-12-17 David Wagmann , Matti Krüger , Chao Wang , Jürgen Steimle

Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. In this work, we investigate the cross-modal connection between vision and touch. The main challenge in this cross-domain modeling task lies in…

Computer Vision and Pattern Recognition · Computer Science 2019-06-17 Yunzhu Li , Jun-Yan Zhu , Russ Tedrake , Antonio Torralba

Human emotions are complex and can be conveyed through nuanced touch gestures. Previous research has primarily focused on how humans recognize emotions through touch or on identifying key features of emotional expression for robots.…

Robotics · Computer Science 2025-08-13 Qiaoqiao Ren , Remko Proesmans , Yuanbo Hou , Francis wyffels , Tony Belpaeme

The integration of visual-tactile stimulus is common while humans performing daily tasks. In contrast, using unimodal visual or tactile perception limits the perceivable dimensionality of a subject. However, it remains a challenge to…

Robotics · Computer Science 2019-02-19 Jet-Tsyn Lee , Danushka Bollegala , Shan Luo

Robots which interact with the physical world will benefit from a fine-grained tactile understanding of objects and surfaces. Additionally, for certain tasks, robots may need to know the haptic properties of an object before touching it. To…

Robotics · Computer Science 2016-04-13 Yang Gao , Lisa Anne Hendricks , Katherine J. Kuchenbecker , Trevor Darrell

Predicting the outcomes of robotic actions, often referred to as learning a world model, in complex environments remains a fundamental challenge in robotics. Existing approaches primarily rely on visual observations and action inputs to…

Robotics · Computer Science 2026-05-14 Willow Mandil , Amir Ghalamzan-E

Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

Affective tactile interaction constitutes a fundamental component of human communication. In natural human-human encounters, touch is seldom experienced in isolation; rather, it is inherently multisensory. Individuals not only perceive the…

Robotics · Computer Science 2025-10-09 Qiaoqiao Ren , Tony Belpaeme

Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the merits of high resolution and low cost has facilitated the…

Robotics · Computer Science 2024-06-19 Shoujie Li , Zihan Wang , Changsheng Wu , Xiang Li , Shan Luo , Bin Fang , Fuchun Sun , Xiao-Ping Zhang , Wenbo Ding

Human tactile perception of materials relies on complex multisensory touch cues, yet the relationship between low-level tactile signals and perceptual representations remains poorly understood. This knowledge gap hinders the integration of…

Robotics · Computer Science 2026-05-29 Li Zou , Yasemin Vardar

We address the problem of tactile localization, where the goal is to identify image regions that share the same material properties as a tactile input. Existing visuo-tactile methods rely on global alignment and thus fail to capture the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Seongyu Kim , Seungwoo Lee , Hyeonggon Ryu , Joon Son Chung , Arda Senocak

Humans rely on touch and tactile sensing for a lot of dexterous manipulation tasks. Our tactile sensing provides us with a lot of information regarding contact formations as well as geometric information about objects during any…

Robotics · Computer Science 2023-06-06 Kei Ota , Devesh K. Jha , Hsiao-Yu Tung , Joshua B. Tenenbaum

Handling non-rigid objects using robot hands necessities a framework that does not only incorporate human-level dexterity and cognition but also the multi-sensory information and system dynamics for robust and fine interactions. In this…

Tactile sensing is a widely-studied means of implicit communication between robot and human. In this paper, we investigate how tactile sensing can help bridge differences between robotic embodiments in the context of collaborative…

Robotics · Computer Science 2025-09-17 William van den Bogert , Madhavan Iyengar , Nima Fazeli

Vibrotactile signals offer new possibilities for conveying sensations and emotions in various applications. Yet, designing vibrotactile tactile icons (i.e., Tactons) to evoke specific feelings often requires a trial-and-error process and…

Human-Computer Interaction · Computer Science 2025-02-04 Chungman Lim , Gyeongdeok Kim , Su-Yeon Kang , Hasti Seifi , Gunhyuk Park

Camera-based tactile sensors provide robots with a high-performance tactile sensing approach for environment perception and dexterous manipulation. However, achieving comprehensive environmental perception still requires cooperation with…

Robotics · Computer Science 2025-04-15 Yueshi Dong , Jieji Ren , Zhenle Liu , Zhanxuan Peng , Zihao Yuan , Ningbin Zhang , Guoying Gu

This paper presents a novel manipulation strategy that uses keypoint correspondences extracted from visuo-tactile sensor images to facilitate precise object manipulation. Our approach uses the visuo-tactile feedback to guide the robot's…

Robotics · Computer Science 2024-05-24 Jeong-Jung Kim , Doo-Yeol Koh , Chang-Hyun Kim

The tactile sensing capabilities of human hands are essential in performing daily activities. Simultaneously perceiving normal and shear forces via the mechanoreceptors integrated into the hands enables humans to achieve daily tasks like…

Robotics · Computer Science 2022-06-20 Zeyu Lu , Xingyu Gao , Haoyong Yu

Brain-computer interface allows people who have lost their motor skills to control robot limbs based on electroencephalography. Most BCIs are guided only by visual feedback and do not have somatosensory feedback, which is an important…

Human-Computer Interaction · Computer Science 2020-12-14 Myoung-Ki Kim , Jeong-Hyun Cho , Ji-Hoon Jeong
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