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Tactile sensing plays an important role in robotic perception and manipulation tasks. To overcome the real-world limitations of data collection, simulating tactile response in a virtual environment comes as a desirable direction of robotic…

机器人学 · 计算机科学 2021-08-21 Yikai Wang , Wenbing Huang , Bin Fang , Fuchun Sun , Chang Li

Tactile sensing has proven to be an invaluable tool for enhancing robotic perception, particularly in scenarios where visual data is limited or unavailable. However, traditional methods for pose estimation using tactile data often rely on…

机器人学 · 计算机科学 2024-09-24 Jose A. Eyzaguirre , Miquel Oller , Nima Fazeli

Tactile sensors are breaking into the field of robotics to provide direct information related to contact surfaces, including contact events, slip events and even texture identification. These events are especially important for robotic hand…

机器人学 · 计算机科学 2026-01-16 Eszter Birtalan , Miklós Koller

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…

Robotic manipulation of highly deformable cloth presents a promising opportunity to assist people with several daily tasks, such as washing dishes; folding laundry; or dressing, bathing, and hygiene assistance for individuals with severe…

机器人学 · 计算机科学 2022-08-12 Yufei Wang , David Held , Zackory Erickson

Teleoperation of robotic systems for precise and delicate object grasping requires high-fidelity haptic feedback to obtain comprehensive real-time information about the grasp. In such cases, the most common approach is to use kinesthetic…

Dexterous manipulation requires precise geometric reasoning, yet existing visuo-tactile learning methods struggle with sub-millimeter precision tasks that are routine for traditional model-based approaches. We identify a key limitation:…

机器人学 · 计算机科学 2026-02-27 Jialei Huang , Yang Ye , Yuanqing Gong , Xuezhou Zhu , Yang Gao , Kaifeng Zhang

Tactile sensing is critical in advanced interactive systems by emulating the human sense of touch to detect stimuli. Vision-based tactile sensors are promising for providing multimodal capabilities and high robustness, yet existing…

机器人学 · 计算机科学 2025-04-07 Mayue Shi , Yongqi Zhang , Xiaotong Guo , Eric M. Yeatman

Flexible tactile sensors are increasingly used in real-world applications such as robotic grippers, prosthetic hands, wearable gloves, and assistive devices, where they need to conform to curved and irregular surfaces. However, most…

机器人学 · 计算机科学 2025-11-04 Luoyan Zhong , Heather Jin Hee Kim , Dylan P. Losey , Cara M. Nunez

Tactile feedback is critical for understanding the dynamics of both rigid and deformable objects in many manipulation tasks, such as non-prehensile manipulation and dense packing. We introduce an approach that combines visual and tactile…

机器人学 · 计算机科学 2024-07-02 Bo Ai , Stephen Tian , Haochen Shi , Yixuan Wang , Cheston Tan , Yunzhu Li , Jiajun Wu

Haptic feedback is the most significant sensory interface following visual cues. Developing thin, flexible surfaces that function as haptic interfaces is important for augmenting virtual reality, wearable devices, robotics and prostheses.…

The work presented in this paper is related to the use of a haptic device in an environment of robotic simulation. Such device introduces a new approach to feel and to understand the boundaries of the workspace of mechanisms as well as its…

机器人学 · 计算机科学 2007-05-23 Damien Chablat , Fouad Bennis

Inspired by humans' ability to perceive the surface texture of unfamiliar objects without relying on vision, the sense of touch can play a crucial role in robots exploring the environment, particularly in scenes where vision is difficult to…

机器人学 · 计算机科学 2023-01-23 Junyuan Lu , Zeyu Wan , Yu Zhang

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

Estimation of tactile properties from vision, such as slipperiness or roughness, is important to effectively interact with the environment. These tactile properties help us decide which actions we should choose and how to perform them.…

机器人学 · 计算机科学 2019-07-10 Kuniyuki Takahashi , Jethro Tan

During the last years, the emerging field of Augmented and Virtual Reality (AR-VR) has seen tremendous growth. An interface that has also become very popular for the AR systems is the tangible interface or passive-haptic interface.…

人机交互 · 计算机科学 2021-04-20 Dimitrios Chamzas , Konstantinos Moustakas

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…

机器人学 · 计算机科学 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…

机器人学 · 计算机科学 2021-10-01 Tasbolat Taunyazov , Luar Shui Song , Eugene Lim , Hian Hian See , David Lee , Benjamin C. K. Tee , Harold Soh

We propose a method that simultaneously estimates and controls extrinsic contact with tactile feedback. The method enables challenging manipulation tasks that require controlling light forces and accurate motions in contact, such as…

机器人学 · 计算机科学 2023-03-07 Sangwoon Kim , Devesh K. Jha , Diego Romeres , Parag Patre , Alberto Rodriguez

Realistic display of tactile textures on touch screens is a big step forward for haptic technology to reach a wide range of consumers utilizing electronic devices on a daily basis. Since the texture topography cannot be rendered explicitly…

人机交互 · 计算机科学 2020-06-11 Aykut Isleyen , Yasemin Vardar , Cagatay Basdogan