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Intelligent systems are increasingly part of our everyday lives and have been integrated seamlessly to the point where it is difficult to imagine a world without them. Physical manifestations of those systems on the other hand, in the form…

机器人学 · 计算机科学 2021-06-23 Ronja Möller , Antonino Furnari , Sebastiano Battiato , Aki Härmä , Giovanni Maria Farinella

In this paper we consider a robot patrolling problem in which events arrive randomly over time at the vertices of a graph. When an event arrives it remains active for a random amount of time. If that time active exceeds a certain threshold,…

机器人学 · 计算机科学 2014-09-17 Ahmad Bilal Asghar , Stephen L. Smith

We propose a method to tackle the problem of mapless collision-avoidance navigation where humans are present using 2D laser scans. Our proposed method uses ego-safety to measure collision from the robot's perspective while social-safety to…

机器人学 · 计算机科学 2020-11-20 Jun Jin , Nhat M. Nguyen , Nazmus Sakib , Daniel Graves , Hengshuai Yao , Martin Jagersand

Detecting and localizing contacts is essential for robot manipulators to perform contact-rich tasks in unstructured environments. While robot skins can localize contacts on the surface of robot arms, these sensors are not yet robust or…

机器人学 · 计算机科学 2021-03-26 Jacky Liang , Oliver Kroemer

This paper focuses on coordinating a robot swarm orbiting a convex path without collisions among the individuals. The individual robots lack braking capabilities and can only adjust their courses while maintaining their constant but…

机器人学 · 计算机科学 2024-02-22 Jesús Bautista , Héctor García de Marina

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation has advanced tremendously in recent years, the fair evaluation…

With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various challenges that need to be addressed to ensure seamless…

机器人学 · 计算机科学 2023-07-24 Ali Noormohammadi-Asl , Ali Ayub , Stephen L. Smith , Kerstin Dautenhahn

A robot needs multiple interaction modes to robustly collaborate with a human in complicated industrial tasks. We develop a Coexistence-and-Cooperation (CoCo) human-robot collaboration system. Coexistence mode enables the robot to work with…

Multiple levels of safety measures are required by multiple interaction modes which collaborative robots need to perform industrial tasks with human co-workers. We develop three independent modules to account for safety in different types…

In this paper we study the following multi-robot coordination problem: given a graph, where each edge is weighted by the probability of surviving while traversing it, find a set of paths for $K$ robots that maximizes the expected number of…

机器人学 · 计算机科学 2016-12-13 Stefan Jorgensen , Robert H. Chen , Mark B. Milam , Marco Pavone

As human-robot collaboration is becoming more widespread, there is a need for a more natural way of communicating with the robot. This includes combining data from several modalities together with the context of the situation and background…

人机交互 · 计算机科学 2024-04-03 Petr Vanc , Radoslav Skoviera , Karla Stepanova

In this paper, we extended previous studies of cooperating autonomous robots to include situations when environmental changes and changes in the number of robots in the swarm can affect the efficiency to execute tasks assigned to the swarm…

机器人学 · 计算机科学 2019-01-04 Bogdan Czejdo , Wiktor B. Daszczuk , Waldemar Grabski , Sambit Bhattacharya

In this work, we present preliminary work on a novel method for Human-Swarm Interaction (HSI) that can be used to change the macroscopic behavior of a swarm of robots with decentralized sensing and control. By integrating a small yet…

机器人学 · 计算机科学 2021-02-05 Zahi Kakish , Sritanay Vedartham , Spring Berman

We focus on human-robot collaborative transport, in which a robot and a user collaboratively move an object to a goal pose. In the absence of explicit communication, this problem is challenging because it demands tight implicit coordination…

机器人学 · 计算机科学 2025-02-06 Elvin Yang , Christoforos Mavrogiannis

Entanglements like vines and branches in natural settings or cords and pipes in human spaces prevent mobile robots from accessing many environments. Legged robots should be effective in these settings, and more so than wheeled or tracked…

机器人学 · 计算机科学 2023-09-12 Justin K. Yim , Jiming Ren , David Ologan , Selvin Garcia Gonzalez , Aaron M. Johnson

Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control…

We consider the problem of planning a collision-free path for a high-dimensional robot. Specifically, we suggest a planning framework where a motion-planning algorithm can obtain guidance from a user. In contrast to existing approaches that…

机器人学 · 计算机科学 2018-07-24 Fahad Islam , Oren Salzman , Maxim Likhachev

Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured situations. In this work, we present a crowd navigation…

机器人学 · 计算机科学 2022-08-04 Diego Paez-Granados , Yujie He , David Gonon , Dan Jia , Bastian Leibe , Kenji Suzuki , Aude Billard

In this paper, we introduce a semi-decentralized control technique for a swarm of robots transporting a fragile object to a destination in an uncertain occluded environment.The proposed approach has been split into two parts. The initial…

机器人学 · 计算机科学 2022-09-14 Dibyendu Roy , Sreejeet Maity , Madhubanti Maitra , Samar Bhattacharya

The field of Human-Robot Collaboration (HRC) has seen a considerable amount of progress in recent years. Thanks in part to advances in control and perception algorithms, robots have started to work in increasingly unstructured environments,…

机器人学 · 计算机科学 2022-02-15 Olivier Mangin , Alessandro Roncone , Brian Scassellati
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