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Mobile telepresence robots (MTRs) allow people to navigate and interact with a remote environment that is in a place other than the person's true location. Thanks to the recent advances in 360 degree vision, many MTRs are now equipped with…

机器人学 · 计算机科学 2022-02-28 Kishan Chandan , Jack Albertson , Xiaohan Zhang , Xiaoyang Zhang , Yao Liu , Shiqi Zhang

Autonomous exploration allows mobile robots to navigate in initially unknown territories in order to build complete representations of the environments. In many real-life applications, environments often contain dynamic obstacles which can…

机器人学 · 计算机科学 2021-07-30 Valentina Cavinato , Thomas Eppenberger , Dina Youakim , Roland Siegwart , Renaud Dubé

We address the problem of controlling a mobile robot to explore a partially known environment. The robot's objective is the maximization of the amount of information collected about the environment. We formulate the problem as a partially…

机器人学 · 计算机科学 2017-03-08 Mikko Lauri , Risto Ritala

A motion-based control interface promises flexible robot operations in dangerous environments by combining user intuitions with the robot's motor capabilities. However, designing a motion interface for non-humanoid robots, such as…

机器人学 · 计算机科学 2022-04-29 Sunwoo Kim , Maks Sorokin , Jehee Lee , Sehoon Ha

Traversing 3-D complex environments has always been a significant challenge for legged locomotion. Existing methods typically rely on external sensors such as vision and lidar to preemptively react to obstacles by acquiring environmental…

机器人学 · 计算机科学 2024-07-16 Yi Cheng , Hang Liu , Guoping Pan , Linqi Ye , Houde Liu , Bin Liang

In this paper, we present the design and implementation of a robust motion formation distributed control algorithm for a team of mobile robots. The primary task for the team is to form a geometric shape, which can be freely translated and…

机器人学 · 计算机科学 2018-09-21 Hector Garcia de Marina , Johan Siemonsma , Bayu Jayawardhana , Ming Cao

In order to be effective partners for humans, robots must become increasingly comfortable with making contact with their environment. Unfortunately, it is hard for robots to distinguish between ``just enough'' and ``too much'' force: some…

机器人学 · 计算机科学 2022-09-27 Charles Dawson , Austin Garrett , Falk Pollok , Yang Zhang , Chuchu Fan

In this paper, we aim to achieve a human-robot work balance by implementing shared autonomy through a web interface. Shared autonomy integrates user input with the autonomous capabilities of the robot and therefore increases the overall…

机器人学 · 计算机科学 2020-02-21 Yug Ajmera , Arshad Javed

Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different interaction modalities. We present an…

This paper explores the use of 3D lidar in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were conducted to mimic a modern shop-floor environment. Data was collected from a pool of seventeen…

机器人学 · 计算机科学 2024-06-04 Sarthak Arora , Karthik Subramanian , Odysseus Adamides , Ferat Sahin

This article presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments. The proposed system not only features a haptic device, but also a virtual reality (VR) interface that provides…

Robots today can exploit the rich world knowledge of large language models to chain simple behavioral skills into long-horizon tasks. However, robots often get interrupted during long-horizon tasks due to primitive skill failures and…

In this work, we address the problem of ensuring real-time safety in autonomous robot navigation, in spatially constrained dynamic environments, by utilizing only onboard sensors. We present a real-time control architecture that integrates…

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

In recent years, autonomous agents have surged in real-world environments such as our homes, offices, and public spaces. However, natural human-robot interaction remains a key challenge. In this paper, we introduce an approach that…

机器人学 · 计算机科学 2024-10-15 Linus Nwankwo , Elmar Rueckert

The growing spread of robots for service and industrial purposes calls for versatile, intuitive and portable interaction approaches. In particular, in industrial environments, operators should be able to interact with robots in a fast,…

机器人学 · 计算机科学 2023-07-13 Valeria Villani , Beatrice Capelli , Lorenzo Sabattini

Spatial computing experiences are physically constrained by the geometry and semantics of the local user environment. This limitation is elevated in remote multi-user interaction scenarios, where finding a common virtual ground physically…

人机交互 · 计算机科学 2020-06-19 Mohammad Keshavarzi , Allen Y. Yang , Woojin Ko , Luisa Caldas

Immersive reality technologies, such as Virtual and Augmented Reality, have ushered a new era of user-centric systems, in which every aspect of the coding--delivery--rendering chain is tailored to the interaction of the users. Understanding…

人机交互 · 计算机科学 2023-06-21 Silvia Rossi , Irene Viola , Laura Toni , Pablo Cesar

Efficient and intuitive Human-Robot interfaces are crucial for expanding the user base of operators and enabling new applications in critical areas such as precision agriculture, automated construction, rehabilitation, and environmental…

机器人学 · 计算机科学 2023-04-05 Paulo Padrao , Jose Fuentes , Tero Kaarlela , Alfredo Bayuelo , Leonardo Bobadilla

The number of robots deployed in our daily surroundings is ever-increasing. Even in the industrial set-up, the use of coworker robots is increasing rapidly. These cohabitant robots perform various tasks as instructed by co-located human…

机器人学 · 计算机科学 2020-09-01 Pradip Pramanick , Chayan Sarkar , Indrajit Bhattacharya