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The paper focuses on an immersive teleoperation system that enhances operator's ability to actively perceive the robot's surroundings. A consumer-grade HTC Vive VR system was used to synchronize the operator's hand and head movements with a…

How can we imbue robots with the ability to manipulate objects precisely but also to reason about them in terms of abstract concepts? Recent works in manipulation have shown that end-to-end networks can learn dexterous skills that require…

机器人学 · 计算机科学 2021-09-27 Mohit Shridhar , Lucas Manuelli , Dieter Fox

In adult laparoscopy, robot-aided surgery is a reality in thousands of operating rooms worldwide, owing to the increased dexterity provided by the robotic tools. Many robots and robot control techniques have been developed to aid in more…

Humans can teleoperate robots to accomplish complex manipulation tasks. Imitation learning has emerged as a powerful framework that leverages human teleoperated demonstrations to teach robots new skills. However, the performance of the…

机器人学 · 计算机科学 2024-07-19 Philipp Wu , Yide Shentu , Zhongke Yi , Xingyu Lin , Pieter Abbeel

The tie-knotting task is highly challenging due to the tie's high deformation and long-horizon manipulation actions. This work presents TieBot, a Real-to-Sim-to-Real learning from visual demonstration system for the robots to learn to knot…

机器人学 · 计算机科学 2024-10-22 Weikun Peng , Jun Lv , Yuwei Zeng , Haonan Chen , Siheng Zhao , Jichen Sun , Cewu Lu , Lin Shao

This paper presents a multi-contact motion adaptation framework that enables teleoperation of high degree-of-freedom (DoF) robots, such as quadrupeds and humanoids, for loco-manipulation tasks in multi-contact settings. Our proposed…

机器人学 · 计算机科学 2022-06-02 Quentin Rouxel , Kai Yuan , Ruoshi Wen , Zhibin Li

Robotic-assisted procedures offer enhanced precision, but while fully autonomous systems are limited in task knowledge, difficulties in modeling unstructured environments, and generalisation abilities, fully manual teleoperated systems also…

机器人学 · 计算机科学 2025-04-30 Zhaoyang Jacopo Hu , Haozheng Xu , Sion Kim , Yanan Li , Ferdinando Rodriguez y Baena , Etienne Burdet

We present TASC, a Task-Aware Shared Control framework for teleoperated manipulation that infers task-level user intent and provides assistance throughout the task. To support everyday tasks without predefined knowledge, TASC constructs an…

机器人学 · 计算机科学 2025-09-15 Ze Fu , Pinhao Song , Yutong Hu , Renaud Detry

We address the problem of teleoperating an industrial robot manipulator via a commercially available Virtual Reality (VR) interface. Previous works on VR teleoperation for robot manipulators focus primarily on collaborative or research…

机器人学 · 计算机科学 2023-05-19 Eric Rosen , Devesh K. Jha

Vehicle teleoperation is an interesting feature in many fields. A typical problem of teleoperation is communication time delay which, together with actuator saturation and environmental disturbance, can cause a vehicle deviation from the…

机器人学 · 计算机科学 2023-01-12 Jai Prakash , Michele Vignati , Edoardo Sabbioni , Federico Cheli

While the search for new solvents in the chemical industry is of uttermost importance with respect to environmental considerations, this domain remains strongly tied to highly manual and visual inspection tasks by human experts. As the…

机器人学 · 计算机科学 2024-07-24 Erwann Landais , Nasser Rezzoug , Vincent Padois

There is a growing need to deliver rehabilitation care to patients remotely. Long term demographic changes, geographic shortages of care providers, and now a global pandemic contribute to this need. Telepresence provides an option for…

机器人学 · 计算机科学 2022-03-01 Michael J. Sobrepera , Vera G. Lee , Suveer Garg , Michelle J. Johnson , Ph. D

Pick-and-place is one of the fundamental tasks in robotics research. However, the attention has been mostly focused on the ``pick'' task, leaving the ``place'' task relatively unexplored. In this paper, we address the problem of placing…

机器人学 · 计算机科学 2023-09-26 Joonhyung Lee , Sangbeom Park , Jeongeun Park , Kyungjae Lee , Sungjoon Choi

Safe and efficient collaboration among multiple robots in unstructured environments is increasingly critical in the era of Industry 4.0. However, achieving robust and autonomous collaboration among humans and other robots requires modern…

机器人学 · 计算机科学 2023-03-29 Apan Dastider , Mingjie Lin

Telerobotics enables humans to overcome spatial constraints and physically interact with the environment in remote locations. However, the sensory feedback provided by the system to the user is often purely visual, limiting the user's…

In this paper, we present a semi-autonomous teleoperation framework for a pick-and-place task using an RGB-D sensor. In particular, we assume that the target object is located in a cluttered environment where both prehensile grasping and…

机器人学 · 计算机科学 2022-05-26 Sangbeom Park , Yoonbyung Chai , Sunghyun Park , Jeongeun Park , Kyungjae Lee , Sungjoon Choi

Sharing autonomy between robots and human operators could facilitate data collection of robotic task demonstrations to continuously improve learned models. Yet, the means to communicate intent and reason about the future are disparate…

Physically assistive robots in home environments can enhance the autonomy of individuals with impairments, allowing them to regain the ability to conduct self-care and household tasks. Individuals with physical limitations may find existing…

机器人学 · 计算机科学 2025-02-11 Akhil Padmanabha , Carmel Majidi , Zackory Erickson

Careful robot manipulation in every-day cluttered environments requires an accurate understanding of the 3D scene, in order to grasp and place objects stably and reliably and to avoid colliding with other objects. In general, we must…

机器人学 · 计算机科学 2025-11-11 Aditya Agarwal , Gaurav Singh , Bipasha Sen , Tomás Lozano-Pérez , Leslie Pack Kaelbling

The prospect of assistive robots aiding in object organization has always been compelling. In an image-goal setting, the robot rearranges the current scene to match the single image captured from the goal scene. The key to an image-goal…

机器人学 · 计算机科学 2023-09-19 Dehao Huang , Chao Tang , Hong Zhang