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Robotic manipulation of highly deformable cloth presents a promising opportunity to assist people with several daily tasks, such as washing dishes; folding laundry; or dressing, bathing, and hygiene assistance for individuals with severe…

机器人学 · 计算机科学 2022-08-12 Yufei Wang , David Held , Zackory Erickson

Dynamic hand gestures play a crucial role in conveying nonverbal information for Human-Robot Interaction (HRI), eliminating the need for complex interfaces. Current models for dynamic gesture recognition suffer from limitations in effective…

机器人学 · 计算机科学 2024-11-28 Eran Bamani Beeri , Eden Nissinman , Avishai Sintov

Physical interaction between humans and robots can help robots learn to perform complex tasks. The robot arm gains information by observing how the human kinesthetically guides it throughout the task. While prior works focus on how the…

Human teams are able to easily perform collaborative manipulation tasks. However, for a robot and human to simultaneously manipulate an extended object is a difficult task using existing methods from the literature. Our approach in this…

机器人学 · 计算机科学 2020-01-07 Erich Mielke , Eric Townsend , David Wingate , Marc D. Killpack

This work developed collaborative bimanual manipulation for reliable and safe human-robot collaboration, which allows remote and local human operators to work interactively for bimanual tasks. We proposed an optimal motion adaptation to…

机器人学 · 计算机科学 2023-07-19 Ruoshi Wen , Quentin Rouxel , Michael Mistry , Zhibin Li , Carlo Tiseo

One of the most elusive goals in myographic prosthesis control is the ability to reliably decode continuous positions simultaneously across multiple degrees-of-freedom. Goal: To demonstrate dexterous, natural, biomimetic finger and wrist…

Humans throw and catch objects all the time. However, such a seemingly common skill introduces a lot of challenges for robots to achieve: The robots need to operate such dynamic actions at high-speed, collaborate precisely, and interact…

机器人学 · 计算机科学 2023-09-12 Binghao Huang , Yuanpei Chen , Tianyu Wang , Yuzhe Qin , Yaodong Yang , Nikolay Atanasov , Xiaolong Wang

This paper presents the flexible RIM Hand, a biomimetic robotic hand that precisely replicates the carpometacarpal (CMC) joints and employs superelastic Nitinol wires throughout its skeletal framework. By modeling the full…

机器人学 · 计算机科学 2026-01-21 Joon Lee , Jeongyoon Han , Doyoung Kim , Seokhwan Jeong

Industrial robots become increasingly prevalent, resulting in a growing need for intuitive, comforting human-robot collaboration. We present a user-aware robotic system that adapts to operator behavior in real time while non-intrusively…

机器人学 · 计算机科学 2024-09-17 Damian Hostettler , Simon Mayer , Jan Liam Albert , Kay Erik Jenss , Christian Hildebrand

Skilled motor behavior is critical in many human daily life activities and professions. The design of robots that can effectively teach motor skills is an important challenge in the robotics field. In particular, it is important to…

机器人学 · 计算机科学 2020-11-02 Giulia Belgiovine , Francesco Rea , Jacopo Zenzeri , Alessandra Sciutti

Teleoperation of robotic systems for precise and delicate object grasping requires high-fidelity haptic feedback to obtain comprehensive real-time information about the grasp. In such cases, the most common approach is to use kinesthetic…

Manipulating deformable objects arises in daily life and numerous applications. Despite phenomenal advances in industrial robotics, manipulation of deformable objects remains mostly a manual task. This is because of the high number of…

机器人学 · 计算机科学 2024-01-31 Burak Aksoy , John Wen

Expressivity--the use of multiple modalities to convey internal state and intent of a robot--is critical for interaction. Yet, due to cost, safety, and other constraints, many robots lack high degrees of physical expressivity. This paper…

机器人学 · 计算机科学 2019-12-03 Thomas R. Groechel , Zhonghao Shi , Roxanna Pakkar , Maja J. Matarić

Accurate 3D kinematics estimation of human body is crucial in various applications for human health and mobility, such as rehabilitation, injury prevention, and diagnosis, as it helps to understand the biomechanical loading experienced…

计算机视觉与模式识别 · 计算机科学 2024-03-06 Zhi-Yi Lin , Bofan Lyu , Judith Cueto Fernandez , Eline van der Kruk , Ajay Seth , Xucong Zhang

How should a robot direct active vision so as to ensure reliable grasping? We answer this question for the case of dexterous grasping of unfamiliar objects. By dexterous grasping we simply mean grasping by any hand with more than two…

机器人学 · 计算机科学 2019-07-03 Ermano Arruda , Jeremy Wyatt , Marek Kopicki

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…

机器人学 · 计算机科学 2021-01-20 Balakumar Sundaralingam , Tucker Hermans

Robotic dexterous hands are central to contact-rich manipulation, with rapid progress driven by advances in hardware, sensing, control, simulation, and data generation. However, existing studies are often developed under different…

机器人学 · 计算机科学 2026-05-18 Weiguang Zhao , Tian Liang , Xihao Guo , Rui Zhang , Irwin King , Kaizhu Huang

Robotic manipulation in space is essential for emerging applications such as debris removal and in-space servicing, assembly, and manufacturing (ISAM). A key requirement for these tasks is the ability to perform precise, contact-rich…

机器人学 · 计算机科学 2025-06-24 Abhay Negi , Omey M. Manyar , Satyandra K. Gupta

With the advancements in human-robot interaction (HRI), robots are now capable of operating in close proximity and engaging in physical interactions with humans (pHRI). Likewise, contact-based pHRI is becoming increasingly common as robots…

机器人学 · 计算机科学 2024-07-31 Mohammad Farajtabar , Marie Charbonneau

Human body motions can be captured as a high-dimensional continuous signal using motion sensor technologies. The resulting data can be surprisingly rich in information, even when captured from persons with limited mobility. In this work, we…

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