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Whole-arm tactile sensing enables a robot to sense contact and infer contact properties across its entire arm. Within this paper, we demonstrate that using data-driven methods, a humanoid robot can infer mechanical properties of objects…

机器人学 · 计算机科学 2017-11-07 Tapomayukh Bhattacharjee , James M. Rehg , Charles C. Kemp

Tactile sensing is critical to fine-grained, contact-rich manipulation tasks, such as insertion and assembly. Prior research has shown the possibility of learning tactile-guided policy from teleoperated demonstration data. However, to…

机器人学 · 计算机科学 2025-02-07 Kelin Yu , Yunhai Han , Qixian Wang , Vaibhav Saxena , Danfei Xu , Ye Zhao

Human demonstrations collected by wearable devices (e.g., tactile gloves) provide fast and dexterous supervision for policy learning, and are guided by rich, natural tactile feedback. However, a key challenge is how to transfer…

Shared autonomy teleoperation can guarantee safety, but does so by reducing the human operator's control authority, which can lead to reduced levels of human-robot agreement and user satisfaction. This paper presents a novel haptic shared…

机器人学 · 计算机科学 2021-10-26 Dawei Zhang , Roberto Tron , Rebecca P. Khurshid

Robotic-assisted surgery offers significant clinical advantages but largely eliminates direct haptic feedback, increasing the risk of excessive tool-tissue interaction forces. Although recent commercial systems have begun to introduce force…

机器人学 · 计算机科学 2026-05-01 Walid Shaker , Mustafa Suphi Erden

Interacting with data visualizations without an instrument or touch surface is typically characterized by the use of mid-air hand gestures. While mid-air expressions can be quite intuitive for interacting with digital content at a distance,…

人机交互 · 计算机科学 2023-11-28 Zona Kostic , Catherine Dumas , Sarah Pratt , Johanna Beyer

Tactile interaction plays a crucial role in interactions between people. Touch can, for example, help people calm down and lower physiological stress responses. Consequently, it is believed that tactile and haptic interaction matter also in…

机器人学 · 计算机科学 2022-11-03 Qiaoqiao Ren , Tony Belpaeme

Non-flat surfaces pose difficulties for robots operating in unstructured environments. Reconstructions of uneven surfaces may only be partially possible due to non-compliant end-effectors and limitations on vision systems such as…

Finger-tip tactile sensors are increasingly used for robotic sensing to establish stable grasps and to infer object properties. Promising performance has been shown in a number of works for inferring adjectives that describe the object, but…

机器人学 · 计算机科学 2023-03-14 Fangyi Zhang , Peter Corke

This project proposes a bioinspired multi-robot system using Distributed Optimization for efficient exploration and mapping of unknown environments. Each robot explores its environment and creates a map, which is afterwards put together to…

机器人学 · 计算机科学 2025-10-08 Roman Ibrahimov , Jannik Matthias Heinen

Tactile and visual perception are both crucial for humans to perform fine-grained interactions with their environment. Developing similar multi-modal sensing capabilities for robots can significantly enhance and expand their manipulation…

机器人学 · 计算机科学 2025-01-08 Binghao Huang , Yixuan Wang , Xinyi Yang , Yiyue Luo , Yunzhu Li

Tactile sensing is an essential perception for robots to complete dexterous tasks. As a promising tactile sensing technique, vision-based tactile sensors have been developed to improve robot performance in manipulation and grasping. Here we…

机器人学 · 计算机科学 2022-06-01 Guanlan Zhang , Yipai Du , Hongyu Yu , Michael Yu Wang

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

Perceiving the environment through touch is important for robots to reach in cluttered environments, but devising a way to sense without disturbing objects is challenging. This work presents the design and modelling of whisker-inspired…

机器人学 · 计算机科学 2022-10-25 Michael A. Lin , Emilio Reyes , Jeannette Bohg , Mark R. Cutkosky

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

Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using touch to perceive and interact with the surrounding…

Tactile sensing is crucial for achieving human-level robotic capabilities in manipulation tasks. As a promising solution, Vision-Based Tactile Sensors (VBTSs) offer high spatial resolution and cost-effectiveness, but present unique…

机器人学 · 计算机科学 2025-09-15 Yuyang Li , Wenxin Du , Chang Yu , Puhao Li , Zihang Zhao , Tengyu Liu , Chenfanfu Jiang , Yixin Zhu , Siyuan Huang

Pseudo-haptics exploit carefully crafted visual or auditory cues to trick the brain into "feeling" forces that are never physically applied, offering a low-cost alternative to traditional haptic hardware. Here, we present a comparative…

人机交互 · 计算机科学 2025-10-13 Nishant Gautam , Somya Sharma , Peter Corcoran , Kaspar Althoefer

Optical tactile sensors are extensively utilized in intelligent robot manipulation due to their ability to acquire high-resolution tactile information at a lower cost. However, achieving adequate reality and versatility in simulating…

机器人学 · 计算机科学 2024-05-07 Zirong Shen , Yuhao Sun , Shixin Zhang , Zixi Chen , Heyi Sun , Fuchun Sun , Bin Fang

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