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Telemanipulation has become a promising technology that combines human intelligence with robotic capabilities to perform tasks remotely. However, it faces several challenges such as insufficient transparency, low immersion, and limited…

Robotics · Computer Science 2025-03-06 Max Grobbel , Balint Varga , Sören Hohmann

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…

Robotics · Computer Science 2021-10-26 Dawei Zhang , Roberto Tron , Rebecca P. Khurshid

Teleoperating precise bimanual manipulations in cluttered environments is challenging for operators, who often struggle with limited spatial perception and difficulty estimating distances between target objects, the robot's body, obstacles,…

This paper investigates the integration of haptic feedback and virtual reality (VR) control interfaces to enhance teleoperation and telemanipulation of underwater ROVs (remotely operated vehicles). Traditional ROV teleoperation relies on…

Robotics · Computer Science 2025-10-06 Ruo Chen , David Blow , Adnan Abdullah , Md Jahidul Islam

Haptic feedback is essential for humans to successfully perform complex and delicate manipulation tasks. A recent rise in tactile sensors has enabled robots to leverage the sense of touch and expand their capability drastically. However,…

Robotics · Computer Science 2024-03-26 Martina Lippi , Michael C. Welle , Maciej K. Wozniak , Andrea Gasparri , Danica Kragic

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…

In immersive humanoid robot teleoperation, there are three main shortcomings that can alter the transparency of the visual feedback: the lag between the motion of the operator's and robot's head due to network communication delays or slow…

Dexterous robotic manipulator teleoperation is widely used in many applications, either where it is convenient to keep the human inside the control loop, or to train advanced robot agents. So far, this technology has been used in…

Teleoperation for contact-rich manipulation remains challenging, especially when using low-cost, motion-only interfaces that provide no haptic feedback. Virtual reality controllers enable intuitive motion control but do not allow operators…

Robotics · Computer Science 2026-03-27 Gijs van den Brandt , Femke van Beek , Elena Torta

Building a low-latency humanoid teleoperation system is essential for collecting diverse reactive and dynamic demonstrations. However, existing approaches rely on heavily pre-processed human-to-humanoid motion retargeting and position-only…

Robotics · Computer Science 2026-03-31 Ziyan Xiong , Lixing Fang , Junyun Huang , Kashu Yamazaki , Hao Zhang , Chuang Gan

We present a novel haptic teleoperation approach that considers not only the safety but also the stability of a teleoperation system. Specifically, we build upon previous work on haptic shared control, which uses control barrier functions…

Robotics · Computer Science 2021-03-23 Dawei Zhang , Roberto Tron

Haptic feedback enhances collision avoidance by providing directional obstacle information to operators during unmanned aerial vehicle (UAV) teleoperation. However, such feedback is often rendered via haptic joysticks, which are unfamiliar…

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…

Haptic feedback can improve safety of teleoperated robots when situational awareness is limited or operators are inattentive. Standard potential field approaches increase haptic resistance as an obstacle is approached, which is desirable…

Robotics · Computer Science 2024-01-09 Ninghan Zhong , Kris Hauser

Teleoperation has emerged as an alternative solution to fully-autonomous systems for achieving human-level capabilities on humanoids. Specifically, teleoperation with whole-body control is a promising hands-free strategy to command…

Robotics · Computer Science 2022-09-13 DongHoon Baek , Yu Chen , Chang , Joao Ramos

Multi-object nonprehensile transportation in teleoperation demands simultaneous trajectory tracking and tray orientation control. Existing methods often struggle with model dependency, uncertain parameters, and multi-object adaptability. We…

Robotics · Computer Science 2026-04-09 Xinyang Fan , Zhaoyang Chen , Shu Xin , Yi Ren , Zainan Jiang , Fenglei Ni , Hong Liu

Robot teleoperation gains great success in various situations, including chemical pollution rescue, disaster relief, and long-distance manipulation. In this article, we propose a virtual reality (VR) based robot teleoperation system to…

Robotics · Computer Science 2023-08-03 Lingxiao Meng , Jiangshan Liu , Wei Chai , Jiankun Wang , Max Q. -H. Meng

Shared control, which combines human expertise with autonomous assistance, is critical for effective teleoperation in complex environments. While recent advances in haptic-guided teleoperation have shown promise, they are often limited to…

Robotics · Computer Science 2025-06-17 V. Sripada , A. Khan , J. Föcker , S. Parsa , Susmitha P , H Maior , A. Ghalamzan-E

This paper presents a globally stable teleoperation control strategy for systems with time-varying delays that eliminates the need for velocity measurements through novel augmented Immersion and Invariance velocity observers. The new…

Systems and Control · Computer Science 2018-03-23 Yuan Yang , Daniela Constantinescu , Yang Shi

Effective data collection in contact-rich manipulation requires force feedback during teleoperation, as accurate perception of contact is crucial for stable control. However, such technology remains uncommon, largely because bilateral…

Robotics · Computer Science 2025-09-11 Yoshiki Kanai , Akira Kanazawa , Hideyuki Ichiwara , Hiroshi Ito , Naoaki Noguchi , Tetsuya Ogata
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