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The utility of Human-in-the-loop telerobotic systems (HiLTS) is driven in part by the quality of feedback it can provide to the operator. While the dynamic interaction between robot and environment can often be sensed or modeled, the…

Robotics · Computer Science 2021-07-26 Mohit Singhala , Jeremy D. Brown

Creating haptic interfaces capable of rendering the rich sensation needed for dexterous manipulation is crucial for the advancement of human-in-the-loop telerobotic systems (HiLTS). One limiting factor has been the absence of detailed…

Robotics · Computer Science 2021-07-23 Mohit Singhala , Jeremy D. Brown

With the rising popularity of telerobotic systems, the focus on transparency with regards to haptic perception is also increasing. Transparency, however, represents a theoretical ideal as most bilateral force-reflecting telerobots introduce…

Robotics · Computer Science 2021-07-23 Mohit Singhala , Jeremy D. Brown

More and more robot automation applications have changed to wireless communication, and network performance has a growing impact on robotic systems. This study proposes a hardware-in-the-loop (HiL) simulation methodology for connecting the…

Robotics · Computer Science 2023-10-10 Honghao Lv , Zhibo Pang , Ming Xiao , Geng Yang

In the field of robotics, robot teleoperation for remote or hazardous environments has become increasingly vital. A major challenge is the lag between command and action, negatively affecting operator awareness, performance, and mental…

Robotics · Computer Science 2023-10-16 Jing Du , William Vann , Tianyu Zhou , Yang Ye , Qi Zhu

Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role in several applications, from healthcare to operations in harsh environments. While visual feedback from cameras can provide valuable…

Robotics · Computer Science 2024-12-04 Gabriele Giudici , Claudio Coppola , Kaspar Althoefer , Ildar Farkhatdinov , Lorenzo Jamone

Haptic teleoperations play a key role in extending human capabilities to perform complex tasks remotely, employing a robotic system. The impact of haptics is far-reaching and can improve the sensory awareness and motor accuracy of the…

Robotics · Computer Science 2024-10-27 Lorenzo Pagliara , Enrico Ferrentino , Andrea Chiacchio , Giovanni Russo

Manipulating an environment remotely with a robotic teleoperator introduces novel electromechanical (EM) dynamics between the user and environment. While considerable effort has focused on minimizing these dynamics, there is limited…

Human-Computer Interaction · Computer Science 2024-11-20 Jacob D. Carducci , Jeremy D. Brown

Bilateral teleoperation provides humanoid robots with human planning intelligence while enabling the human to feel what the robot feels. It has the potential to transform physically capable humanoid robots into dynamically intelligent ones.…

Robotics · Computer Science 2021-09-10 Sunyu Wang , Joao Ramos

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…

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…

Robotics · Computer Science 2026-02-19 Zhiyuan Xu , Yinuo Zhao , Kun Wu , Ning Liu , Junjie Ji , Zhengping Che , Chi Harold Liu , Jian Tang

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance.…

As human space exploration evolves toward longer voyages farther from our home planet, in-situ resource utilization (ISRU) becomes increasingly important. Haptic teleoperations are one of the technologies by which such activities can be…

Robotics · Computer Science 2024-06-14 Lorenzo Pagliara , Vincenzo Petrone , Enrico Ferrentino , Pasquale Chiacchio

Teleoperation of heavy machinery in industry often requires operators to be in close proximity to the plant and issue commands on a per-actuator level using joystick input devices. However, this is non-intuitive and makes achieving desired…

Robotics · Computer Science 2019-05-14 Christopher E. Mower , Wolfgang Merkt , Aled Davies , Sethu Vijayakumar

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…

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

The goals of reducing energy costs, shifting electricity peaks, increasing the use of renewable energy, and enhancing the stability of the electric grid can be met in part by fully exploiting the energy flexibility potential of buildings…

This paper introduces an innovative control approach for teleoperating a robot in close proximity to a human operator, which could be useful to control robots embedded on wheelchairs. The method entails establishing a virtual connection…

Robotics · Computer Science 2024-06-14 Alexis Poignant , Nathanaël Jarrassé , Guillaume Morel

Telerobotics has shown promise in helping workers safely manipulate building components on construction sites; however, its primary reliance on visual feedback limits efficiency in situations with stiff contact or poor visibility. Reliable…

Human-Computer Interaction · Computer Science 2023-02-03 Yijie Gong , Haliza Mat Husin , Ecda Erol , Valerio Ortenzi , Katherine J. Kuchenbecker

Telerobotic systems must adapt to new environmental conditions and deal with high uncertainty caused by long-time delays. As one of the best alternatives to human-level intelligence, Reinforcement Learning (RL) may offer a solution to cope…

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