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Human activity recognition has become an attractive research area with the development of on-body wearable sensing technology. With comfortable electronic-textiles, sensors can be embedded into clothing so that it is possible to record…

机器人学 · 计算机科学 2022-09-26 Tianchen Shen , Irene Di Giulio , Matthew Howard

Tactile sensing is of great importance during human hand usage such as object exploration, grasping and manipulation. Different types of tactile sensors have been designed during the past decades, which are mainly focused on either the…

机器人学 · 计算机科学 2023-08-11 Fuqiang Zhao , Bidan Huang , Mingchang Li , Mengde Li , Zhongtao Fu , Ziwei Lei , Miao Li

In this paper, a novel tactile sensing mechanism for soft robotic fingers is proposed. Inspired by the proprioception mechanism found in mammals, the proposed approach infers tactile information from a strain sensor attached on the finger's…

机器人学 · 计算机科学 2021-07-07 Chang Cheng , Yadong Yan , Mingjun Guan , Jianan Zhang , Yu Wang

General robot manipulation requires the handling of previously unseen objects. Learning a physically accurate model at test time can provide significant benefits in data efficiency, predictability, and reuse between tasks. Tactile sensing…

机器人学 · 计算机科学 2026-02-26 Ethan K. Gordon , Bruke Baraki , Hien Bui , Michael Posa

Textile sensors transform our everyday clothing into a means to track movement and bio-signals in a completely unobtrusive way. One major hindrance to the adoption of "smart" clothing is the difficulty encountered with connections and space…

信号处理 · 电气工程与系统科学 2024-03-22 Brett C. Hannigan , Tyler J. Cuthbert , Chakaveh Ahmadizadeh , Carlo Menon

Reusing the tactile knowledge of some previously-explored objects helps us humans to easily recognize the tactual properties of new objects. In this master thesis, we enable arobotic arm equipped with multi-modal artificial skin, like…

机器人学 · 计算机科学 2018-07-04 Di Feng

This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active sampling problem in the context of tactile fabric recognition and…

Robotic capacities in object manipulation are incomparable to those of humans. Besides years of learning, humans rely heavily on the richness of information from physical interaction with the environment. In particular, tactile sensing is…

机器人学 · 计算机科学 2023-11-23 Dounia Kitouni , Mahdi Khoramshahi , Veronique Perdereau

This paper describes the design of a multi-camera optical tactile sensor that provides information about the contact force distribution applied to its soft surface. This information is contained in the motion of spherical particles spread…

机器人学 · 计算机科学 2020-06-24 Camill Trueeb , Carmelo Sferrazza , Raffaello D'Andrea

Touch sensing can help robots understand their sur- rounding environment, and in particular the objects they interact with. To this end, roboticists have, in the last few decades, developed several tactile sensing solutions, extensively…

机器人学 · 计算机科学 2017-11-13 Shan Luo , Joao Bimbo , Ravinder Dahiya , Hongbin Liu

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…

Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck the right balance of anthropomorphic sizes and shapes and…

Tactile sensing is essential for dexterous manipulation, yet large-scale human demonstration datasets lack tactile feedback, limiting their effectiveness in skill transfer to robots. To address this, we introduce TacCap, a wearable Fiber…

Tactile perception is an essential ability of intelligent robots in interaction with their surrounding environments. This perception as an intermediate level acts between sensation and action and has to be defined properly to generate…

机器人学 · 计算机科学 2019-07-24 Masoud Baghbahari , Aman Behal

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However, readily available industrial grippers typically lack…

机器人学 · 计算机科学 2023-06-12 Remko Proesmans , Francis wyffels

Advanced service robots require superior tactile intelligence to guarantee human-contact safety and to provide essential supplements to visual and auditory information for human-robot interaction, especially when a robot is in physical…

机器人学 · 计算机科学 2021-08-12 Peng Wang , Jixiao Liu , Funing Hou , Dicai Chen , Zihou Xia , Shijie Guo

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

The tactile sensation of textiles is critical in determining the comfort of clothing. For remote use, such as online shopping, users cannot physically touch the textile of clothes, making it difficult to evaluate its tactile sensation.…

人机交互 · 计算机科学 2024-05-07 Takekazu Kitagishi , Yuichi Hiroi , Yuna Watanabe , Yuta Itoh , Jun Rekimoto

In general, robotic dexterous hands are equipped with various sensors for acquiring multimodal contact information such as position, force, and pose of the grasped object. This multi-sensor-based design adds complexity to the robotic…

机器人学 · 计算机科学 2024-08-12 Weiliang Xu , Guoyuan Zhou , Yuanzhi Zhou , Zhibin Zou , Jiali Wang , Wenfeng Wu , Xinming Li

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