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Human-robot interaction will play an essential role in various industries and daily tasks, enabling robots to effectively collaborate with humans and reduce their physical workload. Most of the existing approaches for physical human-robot…

机器人学 · 计算机科学 2024-12-04 Guanrui Li , Xinyang Liu , Giuseppe Loianno

An effective human-robot collaborative process results in the reduction of the operator's workload, promoting a more efficient, productive, safer and less error-prone working environment. However, the implementation of collaborative robots…

机器人学 · 计算机科学 2024-03-11 Miguel Neves , Laura Duarte , Pedro Neto

The vast majority of visual animals actively control their eyes, heads, and/or bodies to direct their gaze toward different parts of their environment. In contrast, recent applications of reinforcement learning in robotic manipulation…

计算机视觉与模式识别 · 计算机科学 2020-03-17 Youssef Zaky , Gaurav Paruthi , Bryan Tripp , James Bergstra

When humans control robot arms these robots often need to infer the human's desired task. Prior research on assistive teleoperation and shared autonomy explores how robots can determine the desired task based on the human's joystick inputs.…

机器人学 · 计算机科学 2022-03-04 Ananth Jonnavittula , Dylan P. Losey

This paper presents a Human-Robot Blind Handover architecture within the context of Human-Robot Collaboration (HRC). The focus lies on a blind handover scenario where the operator is intentionally faced away, focused in a task, and requires…

机器人学 · 计算机科学 2024-09-12 Davide Ferrari , Andrea Pupa , Cristian Secchi

We provide an experimental evaluation of a wearable augmented reality (AR) system we have developed for human-robot teams working on tasks requiring collaboration in shared physical workspace. Recent advances in AR technology have…

Telepresence is a necessity for present time as we can't reach everywhere and also it is useful in saving human life at dangerous places. A robot, which could be controlled from a distant location, can solve these problems. This could be…

人机交互 · 计算机科学 2017-07-26 J L Raheja , G A Rajsekhar , Ankit Chaudhary

This research investigates decentralized control of mobile robots specifically for coverage problems. There are different approaches associated with decentralized control strategy for coverage control problems. We perform a comparative…

机器人学 · 计算机科学 2016-09-30 Waqqas Ahmad

As robot autonomy improves, robots are increasingly being considered in the role of autonomous observation systems -- free-flying cameras capable of actively tracking human activity within some predefined area of interest. In this work, we…

机器人学 · 计算机科学 2020-06-02 David Kent , Sonia Chernova

This paper presents the perception system of a new professional cleaning robot for large public places. The proposed system is based on multiple sensors including 3D and 2D lidar, two RGB-D cameras and a stereo camera. The two lidars…

机器人学 · 计算机科学 2020-02-25 Zhi Yan , Simon Schreiberhuber , Georg Halmetschlager , Tom Duckett , Markus Vincze , Nicola Bellotto

We present a portable multiscopic camera system with a dedicated model for novel view and time synthesis in dynamic scenes. Our goal is to render high-quality images for a dynamic scene from any viewpoint at any time using our portable…

计算机视觉与模式识别 · 计算机科学 2022-08-31 Tianjia Zhang , Yuen-Fui Lau , Qifeng Chen

Vision-based teleoperation offers the possibility to endow robots with human-level intelligence to physically interact with the environment, while only requiring low-cost camera sensors. However, current vision-based teleoperation systems…

机器人学 · 计算机科学 2024-05-20 Yuzhe Qin , Wei Yang , Binghao Huang , Karl Van Wyk , Hao Su , Xiaolong Wang , Yu-Wei Chao , Dieter Fox

In industrial scenarios, effective human-robot collaboration relies on multi-camera systems to robustly monitor human operators despite the occlusions that typically show up in a robotic workcell. In this scenario, precise localization of…

机器人学 · 计算机科学 2024-06-18 Davide Allegro , Matteo Terreran , Stefano Ghidoni

In industrial environments, predicting human actions is essential for ensuring safe and effective collaboration between humans and robots. This paper introduces a perception framework that enables mobile robots to understand and share…

机器人学 · 计算机科学 2025-01-09 Ali Imran , Giovanni Beltrame , David St-Onge

People often watch videos on the web to learn how to cook new recipes, assemble furniture or repair a computer. We wish to enable robots with the very same capability. This is challenging; there is a large variation in manipulation actions…

机器人学 · 计算机科学 2022-09-27 Hejia Zhang , Jie Zhong , Stefanos Nikolaidis

Perception is one of the crucial module of the autonomous driving system, which has made great progress recently. However, limited ability of individual vehicles results in the bottleneck of improvement of the perception performance. To…

计算机视觉与模式识别 · 计算机科学 2022-08-23 Shunli Ren , Siheng Chen , Wenjun Zhang

Shared control in teleoperation for providing robot assistance to accomplish object manipulation, called telemanipulation, is a new promising yet challenging problem. This has unique challenges--on top of teleoperation challenges in…

机器人学 · 计算机科学 2025-04-02 Michael Bowman , Jiucai Zhang , Xiaoli Zhang

Human-human joint-action in short-cycle repetitive handover tasks was investigated for a bottle handover task using a three-fold approach: work-methods field studies in multiple supermarkets, simulation analysis using an ergonomics software…

人机交互 · 计算机科学 2017-08-31 Roy Someshwar , Yael Edan

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29…

When collaborating relative to a shared 3D virtual object in mixed reality (MR), users may experience communication issues arising from differences in perspective. These issues include occlusion (e.g., one user not being able to see what…

人机交互 · 计算机科学 2025-03-18 Matt Gottsacker , Nels Numan , Anthony Steed , Gerd Bruder , Gregory F. Welch , Steve Feiner