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Estimating the location of contact is a primary function of artificial tactile sensing apparatuses that perceive the environment through touch. Existing contact localization methods use flat geometry and uniform sensor distributions as a…

In modern robotic applications, tactile sensor arrays (i.e., artificial skins) are an emergent solution to determine the locations of contacts between a robot and an external agent. Localizing the point of contact is useful but determining…

Coordinating proximity and tactile imaging by collocating cameras with tactile sensors can 1) provide useful information before contact such as object pose estimates and visually servo a robot to a target with reduced occlusion and higher…

Robotics · Computer Science 2022-04-29 Arkadeep Narayan Chaudhury , Timothy Man , Wenzhen Yuan , Christopher G. Atkeson

This paper presents a novel framework for integration of vision and tactile sensing by localizing tactile readings in a visual object map. Intuitively, there are some correspondences, e.g., prominent features, between visual and tactile…

Robotics · Computer Science 2017-08-16 Shan Luo , Wenxuan Mou , Kaspar Althoefer , Hongbin Liu

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

Traditional methods to achieve high localization accuracy with tactile sensors usually use a matrix of miniaturized individual sensors distributed on the area of interest. This approach usually comes at a price of increased complexity in…

Direct physical guidance is a natural means of teaching and interacting with robots, and robotic skins make a key contribution by enabling sensitive contact sensing and localization. This paper presents a tactile-proprioceptive sensor…

Robotics · Computer Science 2026-05-28 Junha Min , Junghyeon Ma , Jiwung Kwon , Sunggyu Bae , Joohyung Kim , Kyungseo Park

As more robots are implemented for contact-rich tasks, tactile sensors are in increasing demand. For many circumstances, the contact is required to be compliant, and soft sensors are in need. This paper introduces a novelly designed soft…

Robotics · Computer Science 2021-05-18 Wu-Te Yang , Zhian Kuang , Changhao Wang , Masayoshi Tomizuka

We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin to estimate contact force without embedding tactile…

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

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

Vision-based tactile sensors (VBTS) face a fundamental trade-off in marker and markerless design on the tactile skin: opaque ink markers enable measurement of force and tangential displacement but completely occlude geometric features…

Robotics · Computer Science 2025-12-09 Oluwatimilehin Tijani , Zhuo Chen , Jiankang Deng , Shan Luo

The potential of large tactile arrays to improve robot perception for safe operation in human-dominated environments and of high-resolution tactile arrays to enable human-level dexterous manipulation is well accepted. However, the increase…

Robotics · Computer Science 2016-09-27 Brayden Hollis , Stacy Patterson , Jeff Trinkle

Traditional methods for achieving high localization accuracy on tactile sensors usually involve a matrix of miniaturized individual sensors distributed on the area of interest. This approach usually comes at a price of increased complexity…

The potential of large tactile arrays to improve robot perception for safe operation in human-dominated environments and of high-resolution tactile arrays to enable human-level dexterous manipulation is well accepted. However, the increase…

Robotics · Computer Science 2017-05-16 Brayden Hollis , Stacy Patterson , Jeff Trinkle

This work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques, features an integration that is slimmer, more robust, and with more…

Robotics · Computer Science 2018-05-16 Elliott Donlon , Siyuan Dong , Melody Liu , Jianhua Li , Edward Adelson , Alberto Rodriguez

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.…

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…

We develop a real-time state estimation system to recover the pose and contact formation of an object relative to its environment. In this paper, we focus on the application of inserting an object picked by a suction cup into a tight space,…

Robotics · Computer Science 2018-03-22 Kuan-Ting Yu , Alberto Rodriguez

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
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