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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.…

Robotics · Computer Science 2023-04-24 Iris Andrussow , Huanbo Sun , Katherine J. Kuchenbecker , Georg Martius

Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments. A more…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Rui Wang , Chuanfu Shen , Manuel J. Marin-Jimenez , George Q. Huang , Shiqi Yu

Advancing dexterous manipulation with multi-fingered robotic hands requires rich sensory capabilities, while existing designs lack onboard thermal and torque sensing. In this work, we propose the MOTIF hand, a novel multimodal and versatile…

Robotics · Computer Science 2025-06-25 Hanyang Zhou , Haozhe Lou , Wenhao Liu , Enyu Zhao , Yue Wang , Daniel Seita

Grasping is a crucial task in robotics, necessitating tactile feedback and reactive grasping adjustments for robust grasping of objects under various conditions and with differing physical properties. In this paper, we introduce LeTac-MPC,…

Robotics · Computer Science 2024-09-10 Zhengtong Xu , Yu She

Suckers are significant for robots in picking, transferring, manipulation and locomotion on diverse surfaces. However, most of the existing suckers lack high-fidelity perceptual and tactile sensing, which impedes them from resolving the…

Robotics · Computer Science 2025-11-05 Ruiyong Yuan , Jieji Ren , Zhanxuan Peng , Feifei Chen , Guoying Gu

High-density afferents in the human hand have long been regarded as essential for human grasping and manipulation abilities. In contrast, robotic tactile sensors are typically used to provide low-density contact data, such as…

Robotics · Computer Science 2020-06-09 Yashraj S. Narang , Karl Van Wyk , Arsalan Mousavian , Dieter Fox

Accurate perception of object hardness is essential for safe and dexterous contact-rich robotic manipulation. Here, we present TactEx, an explainable multimodal robotic interaction framework that unifies vision, touch, and language for…

Robotics · Computer Science 2026-02-24 Felix Verstraete , Lan Wei , Wen Fan , Dandan Zhang

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

Tactile sensing is a fundamental modality for embodied intelligence, offering unique and direct feedback on contact geometry, material properties, and interaction dynamics that remote sensors cannot replace. However, unimodal tactile…

Developing whole-body tactile skins for robots remains a challenging task, as existing solutions often prioritize modular, one-size-fits-all designs, which, while versatile, fail to account for the robot's specific shape and the unique…

Robotics · Computer Science 2026-03-06 Carson Kohlbrenner , Caleb Escobedo , S. Sandra Bae , Alexander Dickhans , Alessandro Roncone

Robots which interact with the physical world will benefit from a fine-grained tactile understanding of objects and surfaces. Additionally, for certain tasks, robots may need to know the haptic properties of an object before touching it. To…

Robotics · Computer Science 2016-04-13 Yang Gao , Lisa Anne Hendricks , Katherine J. Kuchenbecker , Trevor Darrell

Gaze following aims to interpret human-scene interactions by predicting the person's focal point of gaze. Prevailing approaches often adopt a two-stage framework, whereby multi-modality information is extracted in the initial stage for gaze…

Computer Vision and Pattern Recognition · Computer Science 2024-11-15 Yuehao Song , Xinggang Wang , Jingfeng Yao , Wenyu Liu , Jinglin Zhang , Xiangmin Xu

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.…

Robotics · Computer Science 2022-09-29 Changyi Lin , Ziqi Lin , Shaoxiong Wang , Huazhe Xu

Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise…

Robotics · Computer Science 2025-11-13 Xinyue Zhu , Binghao Huang , Yunzhu Li

Complex robotic tasks require human collaboration to benefit from their high dexterity. Frequent human-robot interaction is mentally demanding and time-consuming. Intuitive and easy-to-use robot control interfaces reduce the negative…

Human-Computer Interaction · Computer Science 2022-11-03 Sautenkov Oleg , Altamirano Cabrera Miguel , Rakhmatulin Viktor , Tsetserukou Dzmitry

One of the fundamental requirements for an artificial hand to successfully grasp and manipulate an object is to be able to distinguish different objects' shapes and, more specifically, the objects' surface curvatures. In this study, we…

Medical Physics · Physics 2011-09-19 Saba Salehi , John-John Cabibihan , Shuzhi Sam Ge

We present a modified TacTip biomimetic optical tactile sensor design which demonstrates the ability to induce and detect incipient slip, as confirmed by recording the movement of markers on the sensor's external surface. Incipient slip is…

Robotics · Computer Science 2020-08-18 Jasper W. James , Stephen J. Redmond , Nathan F. Lepora

Recently, tactile sensing has attracted great interest in robotics, especially for facilitating exploration of unstructured environments and effective manipulation. A detailed understanding of the surface textures via tactile sensing is…

Robotics · Computer Science 2020-08-12 Guanqun Cao , Yi Zhou , Danushka Bollegala , Shan Luo

Tactile sensing can provide access to information about the contact (i.e. slippage, surface feature, friction), which is out of reach of vision but crucial for manipulation. To access this information, a dense measurement of the deformation…

Robotics · Computer Science 2022-05-04 Rob B. N. Scharff , Dirk-Jan Boonstra , Laurence Willemet , Xi Lin , Michaël Wiertlewski

Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating…

Robotics · Computer Science 2025-09-18 Jana Egli , Benedek Forrai , Thomas Buchner , Jiangtao Su , Xiaodong Chen , Robert K. Katzschmann