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相关论文: Tac3D: A Novel Vision-based Tactile Sensor for Mea…

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Vision-based tactile sensors have gained extensive attention in the robotics community. The sensors are highly expected to be capable of extracting contact information i.e. haptic information during in-hand manipulation. This nature of…

Distributed tactile sensing for multi-force detection is crucial for various aerial robot interaction tasks. However, current contact sensing solutions on drones only exploit single end-effector sensors and cannot provide distributed…

机器人学 · 计算机科学 2024-10-28 Emanuele Aucone , Carmelo Sferrazza , Manuel Gregor , Raffaello D'Andrea , Stefano Mintchev

In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (up to 15 N) on any objects while generalizing across…

The images captured by vision-based tactile sensors carry information about high-resolution tactile fields, such as the distribution of the contact forces applied to their soft sensing surface. However, extracting the information encoded in…

机器人学 · 计算机科学 2021-10-01 Carmelo Sferrazza , Raffaello D'Andrea

Combining 3D vision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occur can be…

机器人学 · 计算机科学 2023-03-14 Etienne Roberge , Guillaume Fornes , Jean-Philippe Roberge

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…

机器人学 · 计算机科学 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

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…

机器人学 · 计算机科学 2020-03-06 Carmelo Sferrazza , Thomas Bi , Raffaello D'Andrea

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…

机器人学 · 计算机科学 2025-04-15 Yueshi Dong , Jieji Ren , Zhenle Liu , Zhanxuan Peng , Zihao Yuan , Ningbin Zhang , Guoying Gu

Vision-based tactile sensors, through high-resolution optical measurements, can effectively perceive the geometric shape of objects and the force information during the contact process, thus helping robots acquire higher-dimensional tactile…

机器人学 · 计算机科学 2026-03-06 Xi Lin , Weiliang Xu , Yixian Mao , Jing Wang , Meixuan Lv , Lu Liu , Xihui Luo , Xinming Li

Vision-based tactile sensors that can measure 3D geometry of the contacting objects are crucial for robots to perform dexterous manipulation tasks. However, the existing sensors are usually complicated to fabricate and delicate to extend.…

机器人学 · 计算机科学 2022-09-29 Changyi Lin , Ziqi Lin , Shaoxiong Wang , Huazhe Xu

Tactile perception using vibration sensation helps robots recognize their environment's physical properties and perform complex tasks. A sliding motion is applied to target objects to generate tactile vibration data. However, situations…

机器人学 · 计算机科学 2021-04-21 Naoto Komeno , Takamitsu Matsubara

Tactile sensing is an essential perception for robots to complete dexterous tasks. As a promising tactile sensing technique, vision-based tactile sensors have been developed to improve robot performance in manipulation and grasping. Here we…

机器人学 · 计算机科学 2022-06-01 Guanlan Zhang , Yipai Du , Hongyu Yu , Michael Yu Wang

Vision-based haptic sensors have emerged as a promising approach to robotic touch due to affordable high-resolution cameras and successful computer-vision techniques. However, their physical design and the information they provide do not…

机器人学 · 计算机科学 2021-11-12 Huanbo Sun , Katherine J. Kuchenbecker , Georg Martius

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…

机器人学 · 计算机科学 2019-12-12 Carmelo Sferrazza , Adam Wahlsten , Camill Trueeb , Raffaello D'Andrea

The advancements in vision-based tactile sensors have boosted the aptitude of robots to perform contact-rich manipulation, particularly when precise positioning and contact state of the manipulated objects are crucial for successful…

机器人学 · 计算机科学 2023-12-19 Changyi Lin , Han Zhang , Jikai Xu , Lei Wu , Huazhe Xu

The sense of touch plays a key role in enabling humans to understand and interact with surrounding environments. For robots, tactile sensing is also irreplaceable. While interacting with objects, tactile sensing provides useful information…

机器人学 · 计算机科学 2021-12-30 Jiaqi Jiang , Shan Luo

While autonomous Uncrewed Aerial Vehicles (UAVs) have grown rapidly, most applications only focus on passive visual tasks. Aerial interaction aims to execute tasks involving physical interactions, which offers a way to assist humans in…

机器人学 · 计算机科学 2023-10-03 Xiaofeng Guo , Guanqi He , Mohammadreza Mousaei , Junyi Geng , Guanya Shi , Sebastian Scherer

Tactile sensing is crucial in robotics and wearable devices for safe perception and interaction with the environment. Optical tactile sensors have emerged as promising solutions, as they are immune to electromagnetic interference and have…

Retrieving rich contact information from robotic tactile sensing has been a challenging, yet significant task for the effective perception of object properties that the robot interacts with. This work is dedicated to developing an algorithm…

机器人学 · 计算机科学 2019-06-25 Yazhan Zhang , Zicheng Kan , Yang Yang , Alexander Yu Tse , Michael Yu Wang

Current methods for estimating force from tactile sensor signals are either inaccurate analytic models or task-specific learned models. In this paper, we explore learning a robust model that maps tactile sensor signals to force. We…

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