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To adapt to constantly changing environments and be safe for human interaction, robots should have compliant and soft characteristics as well as the ability to sense the world around them. Even so, the incorporation of tactile sensing into…

机器人学 · 计算机科学 2022-04-15 Sandra Q. Liu , Edward H. Adelson

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

Intelligent interaction with the physical world requires perceptual abilities beyond vision and hearing; vibrant tactile sensing is essential for autonomous robots to dexterously manipulate unfamiliar objects or safely contact humans.…

机器人学 · 计算机科学 2023-04-24 Iris Andrussow , Huanbo Sun , Katherine J. Kuchenbecker , Georg Martius

Humans perceive the world by interacting with objects, which often happens in a dynamic way. For example, a human would shake a bottle to guess its content. However, it remains a challenge for robots to understand many dynamic signals…

机器人学 · 计算机科学 2022-05-19 Hung-Jui Huang , Xiaofeng Guo , Wenzhen Yuan

Tactile sensing can enable robots to perform complex, contact-rich tasks. Magnetic sensors offer accurate three-axis force measurements while using affordable materials. Calibrating such a sensor involves either manual data collection, or…

机器人学 · 计算机科学 2024-05-30 Lowiek Van den Stockt , Remko Proesmans , Francis wyffels

Having the ability to estimate an object's properties through interaction will enable robots to manipulate novel objects. Object's dynamics, specifically the friction and inertial parameters have only been estimated in a lab environment…

机器人学 · 计算机科学 2021-01-20 Balakumar Sundaralingam , Tucker Hermans

Tactile sensors have a wide range of applications, from utilization in robotic grippers to human motion measurement. If tactile sensors could be fabricated and integrated more easily, their applicability would further expand. In this study,…

机器人学 · 计算机科学 2025-10-15 Shunnosuke Yoshimura , Kento Kawaharazuka , Kei Okada

A new method is presented to manufacture piezoresistive tactile sensors using fused deposition modelling (FDM)printing technology with two different filaments made of thermoplastic polyurethane (TPU) and polylactic acid-graphene (PLA-G)…

应用物理 · 物理学 2018-10-23 Saeb Mousavi , David Howard , Shuying Wu , Chun Wang

Reproducing the capabilities of the human sense of touch in machines is an important step in enabling robot manipulation to have the ease of human dexterity. A combination of robotic technologies will be needed, including soft robotics,…

机器人学 · 计算机科学 2021-07-23 Nathan F. Lepora

Sensing contacts throughout the fingers is an essential capability for a robot to perform manipulation tasks in cluttered environments. However, existing tactile sensors either only have a flat sensing surface or a compliant tip with a…

机器人学 · 计算机科学 2021-02-26 Daniel Fernandes Gomes , Zhonglin Lin , Shan Luo

Tactile sensing is an essential capability for robots that carry out dexterous manipulation tasks. While cameras, Lidars and other remote sensors can assess a scene globally and instantly, tactile sensors can reduce their measurement…

机器人学 · 计算机科学 2021-12-06 Daniel Fernandes Gomes , Shan Luo

Distinguishing the feel of smooth silk from coarse cotton is a trivial everyday task for humans. When exploring such fabrics, fingertip skin senses both spatio-temporal force patterns and texture-induced vibrations that are integrated to…

机器人学 · 计算机科学 2026-02-16 Iris Andrussow , Jans Solano , Benjamin A. Richardson , Georg Martius , Katherine J. Kuchenbecker

The most common sensing modalities found in a robot perception system are vision and touch, which together can provide global and highly localized data for manipulation. However, these sensing modalities often fail to adequately capture the…

机器人学 · 计算机科学 2022-04-20 Jessica Yin , Gregory M. Campbell , James Pikul , Mark Yim

In robotic manipulation, tactile sensors are indispensable, especially when dealing with soft objects, objects of varying dimensions, or those out of the robot's direct line of sight. Traditional tactile sensors often grapple with…

机器人学 · 计算机科学 2024-05-24 Abraham George , Yibo Chen , Atharva Dikshit , Peter Pak , Amir Barati Farimani

The perception and recognition of the surroundings is one of the essential tasks for a robot. With preliminary knowledge about a target object, it can perform various manipulation tasks such as rolling motion, palpation, and force control.…

Tactile sensing is a essential for skilled manipulation and object perception, but existing devices are unable to capture mechanical signals in the full gamut of regimes that are important for human touch sensing, and are unable to emulate…

机器人学 · 计算机科学 2019-08-23 Yitian Shao , Hui Hu , Yon Visell

Incorporating effective tactile sensing and mechanical compliance is key towards enabling robust and safe operation of robots in unknown, uncertain and cluttered environments. Towards realizing this goal, we present a lightweight,…

机器人学 · 计算机科学 2019-04-05 Alex Alspach , Kunimatsu Hashimoto , Naveen Kuppuswamy , Russ Tedrake

Tactile sensing typically involves active exploration of unknown surfaces and objects, making it especially effective at processing the characteristics of materials and textures. A key property extracted by human tactile perception is…

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…

机器人学 · 计算机科学 2021-05-18 Wu-Te Yang , Zhian Kuang , Changhao Wang , Masayoshi Tomizuka

Robotics research has long sought to give robots the ability to perceive the physical world through touch in an analogous manner to many biological systems. Developing such tactile capabilities is important for numerous emerging…

机器人学 · 计算机科学 2025-08-18 Shan Luo , Nathan F. Lepora , Wenzhen Yuan , Kaspar Althoefer , Gordon Cheng , Ravinder Dahiya