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相关论文: Bimanual Telemanipulation with Force and Haptic Fe…

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Tool use is essential for enabling robots to perform complex real-world tasks, but learning such skills requires extensive datasets. While teleoperation is widely used, it is slow, delay-sensitive, and poorly suited for dynamic tasks. In…

机器人学 · 计算机科学 2025-09-16 Haonan Chen , Cheng Zhu , Shuijing Liu , Yunzhu Li , Katherine Driggs-Campbell

Achieving seamless synchronization between user and robot motion in teleoperation, particularly during high-speed tasks, remains a significant challenge. In this work, we propose a novel approach for transferring stepping motions from the…

We present a coarse-to-fine approach based semi-autonomous teleoperation system using vision guidance. The system is optimized for long range teleoperation tasks under time-delay network conditions and does not require prior knowledge of…

机器人学 · 计算机科学 2019-03-25 Jun Jin , Laura Petrich , Shida He , Masood Dehghan , Martin Jagersand

Mobile manipulators in the home can provide increased autonomy to individuals with severe motor impairments, who often cannot complete activities of daily living (ADLs) without the help of a caregiver. Teleoperation of an assistive mobile…

Grasping is an incredible ability of animals using their arms and limbs in their daily life. The human hand is an especially astonishing multi-fingered tool for precise grasping, which helped humans to develop the modern world. The…

机器人学 · 计算机科学 2023-01-03 Jose James

This paper addresses the scarcity of affordable, fully-actuated five-fingered hands for dexterous teleoperation, which is crucial for collecting large-scale real-robot data within the "Learning from Demonstrations" paradigm. We introduce…

机器人学 · 计算机科学 2025-10-22 Zhaoliang Wan , Zida Zhou , Zetong Bi , Zehui Yang , Hao Ding , Hui Cheng

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

Bimanual handovers are crucial for transferring large, deformable or delicate objects. This paper proposes a framework for generating kinematically constrained human-like bimanual robot motions to ensure seamless and natural robot-to-human…

Teleoperation is essential for autonomous robot learning, especially in manipulation tasks that require human demonstrations or corrections. However, most existing systems only offer unilateral robot control and lack the ability to…

机器人学 · 计算机科学 2026-02-19 Zhiyuan Xu , Yinuo Zhao , Kun Wu , Ning Liu , Junjie Ji , Zhengping Che , Chi Harold Liu , Jian Tang

Robot-to-human object handover is an important step in many human robot collaboration tasks. A successful handover requires the robot to maintain a stable grasp on the object while making sure the human receives the object in a natural and…

机器人学 · 计算机科学 2024-10-01 Zixi Wang , Zeyi Liu , Nicolas Ouporov , Shuran Song

With the continuous advancement of robot teleoperation technology, shared control is used to reduce the physical and mental load of the operator in teleoperation system. This paper proposes an alternating shared control framework for object…

机器人学 · 计算机科学 2023-08-01 Qibin Chen , Yaonan Zhu , Kay Hansel , Tadayoshi Aoyama , Yasuhisa Hasegawa

Robot-to-human object handover is an essential skill for robot assistants, from serving drinks at home to passing surgical tools in the operating room. We expect robots to perform handover robustly -- to release the object only after a firm…

机器人学 · 计算机科学 2026-05-07 Linfeng Li , Lin Shao , David Hsu

A remote collaboration setup allows an expert to instruct a remotely located novice user to help them with a task. Advanced solutions exist in the field of remote guidance and telemanipulation, however, we lack a device that combines these…

机器人学 · 计算机科学 2020-10-23 Janis Stolzenwald , Walterio W. Mayol-Cuevas

Current approaches for humanoid whole-body manipulation, primarily relying on teleoperation or visual sim-to-real reinforcement learning, are hindered by hardware logistics and complex reward engineering. Consequently, demonstrated…

We present a novel mixed reality (MR) telepresence system enabling a local user to interact with a remote user through full-body avatars in their own rooms. If the remote rooms have different sizes and furniture arrangements, directly…

人机交互 · 计算机科学 2021-03-09 Leonard Yoon , Dongseok Yang , Choongho Chung , Sung-Hee Lee

Variable stiffness actuators undergo lower peak force in contacts compared to their rigid counterparts, and are thus safer for human-robot interaction. Furthermore, they can store energy in their elastic element and can release it later to…

人机交互 · 计算机科学 2017-08-01 Manuel Aiple , André Schiele

Since Automated Driving Systems are not expected to operate flawlessly, Automated Vehicles will require human assistance in certain situations. For this reason, teleoperation offers the opportunity for a human to be remotely connected to…

机器人学 · 计算机科学 2024-04-29 Maria-Magdalena Wolf , Richard Taupitz , Frank Diermeyer

Magnetically actuated robots provide a promising untethered platform for navigation in confined environments, enabling biological studies and targeted micro-delivery. However, dexterous manipulation in complex structures remains…

系统与控制 · 电气工程与系统科学 2026-03-17 Yongchen Wang , Kangyi Lu , Lan Wei , Dandan Zhang

Bilateral teleoperation of an aerial manipulator facilitates the execution of industrial missions thanks to the combination of the aerial platform's maneuverability and the ability to conduct complex tasks with human supervision.…

机器人学 · 计算机科学 2024-05-03 Jeonghyun Byun , Dohyun Eom , H. Jin Kim

We present a user-friendly interface to teleoperate a soft robot manipulator in a complex environment. Key components of the system include a manipulator with a grasping end-effector that grows via tip eversion, gesture-based control, and…

机器人学 · 计算机科学 2019-10-30 Fabio Stroppa , Ming Luo , Giada Gerboni , Margaret M. Coad , Julie M. Walker , Allison M. Okamura
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