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Related papers: StRETcH: a Soft to Resistive Elastic Tactile Hand

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With the development of robot electronic skin technology, various tactile sensors, enhanced by AI, are unlocking a new dimension of perception for robots. In this work, we explore how robots equipped with electronic skin can recognize…

Robotics · Computer Science 2025-06-24 Shuo Jiang , Boce Hu , Linfeng Zhao , Lawson L. S. Wong

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

Mechanical compliance is a key design parameter for dynamic contact-rich manipulation, affecting task success and safety robustness over contact geometry variation. Design of soft robotic structures, such as compliant fingers, requires…

Robotics · Computer Science 2025-09-15 Richard Matthias Hartisch , Alexander Rother , Jörg Krüger , Kevin Haninger

Soft robots have high adaptability and safeness which are derived from their softness, and therefore it is paid attention to use them in human society. However, the controllability of soft robots is not enough to perform dexterous behaviors…

Robotics · Computer Science 2024-08-01 Sumitaka Honji , Hikaru Arita , Kenji Tahara

We introduce DIFFTACTILE, a physics-based differentiable tactile simulation system designed to enhance robotic manipulation with dense and physically accurate tactile feedback. In contrast to prior tactile simulators which primarily focus…

Robotics · Computer Science 2024-03-14 Zilin Si , Gu Zhang , Qingwei Ben , Branden Romero , Zhou Xian , Chao Liu , Chuang Gan

A challenging and important problem for tendon-driven multi-fingered robotic hands is to ensure grasping adaptivity while minimizing the number of actuators needed to provide human-like functionality. Inspired by the Pisa/IIT SoftHand, this…

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…

Robotics · Computer Science 2026-02-26 Ethan K. Gordon , Bruke Baraki , Hien Bui , Michael Posa

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…

Robotics · Computer Science 2023-08-11 Fuqiang Zhao , Bidan Huang , Mingchang Li , Mengde Li , Zhongtao Fu , Ziwei Lei , Miao Li

We propose a new robotic cover prototype that achieves thermal display while also being soft. We focus on the thermal cue because previous human studies have identified it as part of the touch pleasantness. The robotic cover surface can be…

Human-Computer Interaction · Computer Science 2021-05-11 Yukiko Osawa , Abderrahmane Kheddar

There is a growing need for soft robotic platforms that perform gentle, precise handling of a wide variety of objects. Existing surface-based manipulation systems, however, lack the compliance and tactile feedback needed for delicate…

Robotics · Computer Science 2026-02-25 Gayatri Indukumar , Muhammad Awais , Diana Cafiso , Matteo Lo Preti , Lucia Beccai

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…

Robotics · Computer Science 2021-01-20 Balakumar Sundaralingam , Tucker Hermans

The tactile sensing capabilities of human hands are essential in performing daily activities. Simultaneously perceiving normal and shear forces via the mechanoreceptors integrated into the hands enables humans to achieve daily tasks like…

Robotics · Computer Science 2022-06-20 Zeyu Lu , Xingyu Gao , Haoyong Yu

Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation approach of grasping stability via constructing a model of grasping stiffness based on the theory of contact mechanics. First, the mathematical…

Robotics · Computer Science 2018-10-22 Huixu Dong , Chen Qiu , Dilip K. Prasad , Ye Pan , Jiansheng Dai , I-Ming Chen

Over the past few decades, efforts have been made towards robust robotic grasping, and therefore dexterous manipulation. The soft gripper has shown their potential in robust grasping due to their inherent properties-low, control complexity,…

Robotics · Computer Science 2020-12-08 Linhan Yang , Xudong Han , Weijie Guo , Zixin Zhang , Fang Wan , Jia Pan , Chaoyang Song

Bringing tactile sensation to robotic hands will allow for more effective grasping, along with the wide range of benefits of human-like touch. Here we present a 3D-printed, three-fingered tactile robot hand comprising an OpenHand Model O…

Robotics · Computer Science 2020-08-17 Jasper W. James , Alex Church , Luke Cramphorn , Nathan F. Lepora

Multi-legged elongate robots hold promise for maneuvering through complex environments. Prior work has demonstrated that reliable locomotion can be achieved using open-loop body undulation and foot placement on rugose terrain. However,…

This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e.,…

Robotics · Computer Science 2023-02-07 Mert Aydin , Emre Sariyildiz , Charbel Dalely Tawk , Rahim Mutlu , Gursel Alici

Robust grasping represents an essential task in robotics, necessitating tactile feedback and reactive grasping adjustments for robust grasping of objects. Previous research has extensively combined tactile sensing with grasping, primarily…

Robotics · Computer Science 2024-11-22 Yueming Hu , Mengde Li , Songhua Yang , Xuetao Li , Sheng Liu , Miao Li

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

One of the trendsetting themes in soft robotics has been the goal of developing the ultimate universal soft robotic gripper. One that is capable of manipulating items of various shapes, sizes, thicknesses, textures, and weights. All the…

Robotics · Computer Science 2024-05-17 Ryo Kanno , Pham H. Nguyen , Joshua Pinskier , David Howard , Sukho Song , Mirko Kovac
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