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相关论文: Large-Scale Integrated Flexible Tactile Sensor Arr…

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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

Current methods for estimating force from tactile sensor signals are either inaccurate analytic models or task-specific learned models. In this paper, we explore learning a robust model that maps tactile sensor signals to force. We…

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…

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

Can a robot grasp an unknown object without seeing it? In this paper, we present a tactile-sensing based approach to this challenging problem of grasping novel objects without prior knowledge of their location or physical properties. Our…

机器人学 · 计算机科学 2018-05-14 Adithyavairavan Murali , Yin Li , Dhiraj Gandhi , Abhinav Gupta

This paper presents an improved tactile sensor using a piezoelectric bimorph able to differentiate soft materials with similar mechanical characteristics. The final aim is to develop intelligent surgical tools for brain tumour resection…

医学物理 · 物理学 2018-05-03 David Oliva Uribe , Johan Schoukens , Ralf Stroop

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

We want to enable fine manipulation with a multi-fingered robotic hand by using modern deep reinforcement learning methods. Key for fine manipulation is a spatially resolved tactile sensor. Here, we present a novel model of a tactile skin…

机器人学 · 计算机科学 2024-09-20 Ulf Kasolowsky , Berthold Bäuml

Tactile sensing has seen a rapid adoption with the advent of vision-based tactile sensors. Vision-based tactile sensors provide high resolution, compact and inexpensive data to perform precise in-hand manipulation and human-robot…

机器人学 · 计算机科学 2021-07-26 Arpit Agarwal , Tim Man , Wenzhen Yuan

Vision-based tactile sensors have drawn increasing interest in the robotics community. However, traditional lens-based designs impose minimum thickness constraints on these sensors, limiting their applicability in space-restricted settings.…

机器人学 · 计算机科学 2025-01-17 Jing Xu , Weihang Chen , Hongyu Qian , Dan Wu , Rui Chen

High-resolution tactile sensing can provide accurate information about local contact in contact-rich robotic tasks. However, the deployment of such tasks in unstructured environments remains under-investigated. To improve the robustness of…

机器人学 · 计算机科学 2023-08-03 Yijiong Lin , Mauro Comi , Alex Church , Dandan Zhang , Nathan F. Lepora

While gesture recognition using vision or robot skins is an active research area in Human-Robot Collaboration (HRC), this paper explores deep learning methods relying solely on a robot's built-in joint sensors, eliminating the need for…

机器人学 · 计算机科学 2025-08-19 Deqing Song , Weimin Yang , Maryam Rezayati , Hans Wernher van de Venn

This work presents a method of incorporating low-cost capacitive tactile sensors on a soft socially assistive robot platform. By embedding conductive thread into the robot's crocheted exterior, we formed a set of low-cost, flexible…

机器人学 · 计算机科学 2024-09-26 Amy O'Connell , Bailey Cislowski , Heather Culbertson , Maja Matarić

This paper introduces the TacFR-Gripper, a reconfigurable Fin Ray-based soft and compliant robotic gripper equipped with tactile skin, which can be used for dexterous in-hand manipulation tasks. This gripper can adaptively grasp objects of…

机器人学 · 计算机科学 2023-11-20 Qingzheng Cong , Wen Fan , Dandan Zhang

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.…

Robotic manipulation tasks such as inserting a key into a lock or plugging a USB device into a port can fail when visual perception is insufficient to detect misalignment. In these situations, touch sensing is crucial for the robot to…

机器人学 · 计算机科学 2025-09-23 Yinghao Wu , Shuhong Hou , Haowen Zheng , Yichen Li , Weiyi Lu , Xun Zhou , Yitian Shao

Tactile sensing and the manipulation of delicate objects are critical challenges in robotics. This study presents a vision-based magnetic-actuated whisker array sensor that integrates these functions. The sensor features eight whiskers…

机器人学 · 计算机科学 2026-03-11 Zhixian Hu , Juan Wachs , Yu She

The synthesis of tactile sensing with compliance is essential to many fields, from agricultural usages like fruit picking, to sustainability practices such as sorting recycling, to the creation of safe home-care robots for the elderly to…

机器人学 · 计算机科学 2023-03-28 Sandra Q. Liu , Yuxiang Ma , Edward H. Adelson

Tactile sensing on human feet is crucial for motion control, however, has not been explored in robotic counterparts. This work is dedicated to endowing tactile sensing to legged robot's feet and showing that a single-legged robot can be…

机器人学 · 计算机科学 2021-03-30 Guanlan Zhang , Yipai Du , Yazhan Zhan , Michael Yu Wang

Achieving robust dexterous manipulation in unstructured domestic environments remains a significant challenge in robotics. Even with state-of-the-art robot learning methods, haptic-oblivious control strategies (i.e. those relying only on…

机器人学 · 计算机科学 2025-04-29 Jialiang Zhao , Naveen Kuppuswamy , Siyuan Feng , Benjamin Burchfiel , Edward Adelson