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相关论文: Dual-Modality Haptic Feedback Improves Dexterous T…

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The ability of robotic grippers to not only grasp but also re-position and re-orient objects in-hand is crucial for achieving versatile, general-purpose manipulation. While recent advances in soft robotic grasping has greatly improved grasp…

Developing kinesthetic haptic devices with advanced haptic rendering capabilities is challenging due to the limitations on driving mechanisms. In this study, we introduce a novel soft electrohydraulic actuator and develop a kinesthetic…

机器人学 · 计算机科学 2025-10-15 Dannuo Li , Quan Xiong , Xuanyi Zhou , Raye Chen-Hua Yeow

Fast grasping is critical for mobile robots in logistics, manufacturing, and service applications. Existing methods face fundamental challenges in impact stabilization under high-speed motion, real-time whole-body coordination, and…

机器人学 · 计算机科学 2026-04-15 Heng Tao , Yiming Zhong , Zemin Yang , Yuexin Ma

Most commercially available haptic gloves compromise the accuracy of hand-posture measurements in favor of a simpler design with fewer sensors. While inaccurate posture data is often sufficient for the task at hand in biomedical settings…

Grasping the same object in different postures is often necessary, especially when handling tools or stacked items. Due to unknown object properties and changes in grasping posture, the required grasping force is uncertain and variable.…

机器人学 · 计算机科学 2025-03-17 Qiyin Huang , Ruomin Sui , Lunwei Zhang , Yenhang Zhou , Tiemin Li , Yao Jiang

High-density electromyography (HDEMG) can detect myoelectric activity as control inputs to a variety of electronically-controlled devices. Furthermore, HDEMG sensors may be built into a variety of clothing, allowing for a non-intrusive…

机器人学 · 计算机科学 2024-11-05 Jehan Yang , Kent Shibata , Douglas Weber , Zackory Erickson

Intuitive control of prostheses relies on training algorithms to correlate biological recordings to motor intent. The quality of the training dataset is critical to run-time performance, but it is difficult to label hand kinematics…

机器人学 · 计算机科学 2020-01-27 Jacob A. George , Troy N. Tully , Paul C. Colgan , Gregory A. Clark

Wrist-driven orthotics have been designed to assist people with C6-7 spinal cord injury, however, the kinematic constraint imposed by such a control strategy can impede mobility and lead to abnormal body motion. This study characterizes…

机器人学 · 计算机科学 2023-11-13 Erin Y. Chang , Raghid Mardini , Andrew I. W. McPherson , Yuri Gloumakov , Hannah S. Stuart

Grasping constitutes a critical challenge for visually impaired people. To address this problem, we developed a tactile bracelet that assists in grasping by guiding the user's hand to a target object using vibration commands. Here we…

人机交互 · 计算机科学 2025-04-24 Marcin Furtak , Florian Pätzold , Tim Kietzmann , Silke M. Kärcher , Peter König

Access to non-verbal cues in social interactions is vital for people with visual impairment. It has been shown that non-verbal cues such as eye contact, number of people, their names and positions are helpful for individuals who are blind.…

计算机与社会 · 计算机科学 2017-11-30 M. Saquib Sarfraz , Angela Constantinescu , Melanie Zuzej , Rainer Stiefelhagen

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers…

机器人学 · 计算机科学 2024-11-11 Noel Alejandro Avila Campos , Masashi Konyo , Ranulfo Bezerra , Shotaro Kojima , Satoshi Tadokoro

Humans can leverage physical interaction to teach robot arms. As the human kinesthetically guides the robot through demonstrations, the robot learns the desired task. While prior works focus on how the robot learns, it is equally important…

Imitation learning has emerged as a powerful paradigm for robot skills learning. However, traditional data collection systems for dexterous manipulation face challenges, including a lack of balance between acquisition efficiency,…

机器人学 · 计算机科学 2025-03-04 Xintao Chao , Shilong Mu , Yushan Liu , Shoujie Li , Chuqiao Lyu , Xiao-Ping Zhang , Wenbo Ding

Only a small percentage of blind and low-vision people use traditional mobility aids such as a cane or a guide dog. Various assistive technologies have been proposed to address the limitations of traditional mobility aids. These devices…

Grasping objects under uncertainty remains an open problem in robotics research. This uncertainty is often due to noisy or partial observations of the object pose or shape. To enable a robot to react appropriately to unforeseen effects, it…

机器人学 · 计算机科学 2018-09-20 Hamza Merzic , Miroslav Bogdanovic , Daniel Kappler , Ludovic Righetti , Jeannette Bohg

The thesis presents contributions made to the evaluation and design of a haptic guidance system on improving driving performance in cases of normal and degraded visual information, which are based on behavior experiments, modeling and…

机器人学 · 计算机科学 2021-04-26 Zheng Wang

The teleoperation of complex, kinematically redundant robots with loco-manipulation capabilities represents a challenge for human operators, who have to learn how to operate the many degrees of freedom of the robot to accomplish a desired…

Assistive electric-powered wheelchairs (EPWs) have become essential mobility aids for people with disabilities such as amyotrophic lateral sclerosis (ALS), post-stroke hemiplegia, and dementia-related mobility impairment. This work presents…

机器人学 · 计算机科学 2026-01-07 Md. Anowar Hossain , Mohd. Ehsanul Hoque

The main purpose of the paper is development, implementation, and testing of a low-cost portable system to assist partially paralyzed patients in their hand rehabilitation after strokes or some injures. Rehabilitation includes time…

人机交互 · 计算机科学 2025-03-18 Hussein Naeem Hasan

Designing for situational awareness could lead to better solutions for disabled people, likewise, exploring the needs of disabled people could lead to innovations that can address situational impairments. This in turn can create…

人机交互 · 计算机科学 2019-04-15 Tigmanshu Bhatnagar , Youngjun Cho , Nicolai Marquardt , Catherine Holloway