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Robots are increasingly working alongside people, delivering food to patrons in restaurants or helping workers on assembly lines. These scenarios often involve object handovers between the person and the robot. To achieve safe and efficient…

机器人学 · 计算机科学 2025-12-22 Leimin Tian , Shiyu Xu , Kerry He , Rachel Love , Akansel Cosgun , Dana Kulic

Real-time collaboration with humans poses challenges due to the different behavior patterns of humans resulting from diverse physical constraints. Existing works typically focus on learning safety constraints for collaboration, or how to…

机器人学 · 计算机科学 2024-03-06 Shibei Zhu , Tran Nguyen Le , Samuel Kaski , Ville Kyrki

As technology advances, the barriers between the co-existence of humans and robots are slowly coming down. The prominence of physical interactions for collaboration and cooperation between humans and robots will be an undeniable fact.…

机器人学 · 计算机科学 2019-08-01 Yeshasvi Tirupachuri , Gabriele Nava , Lorenzo Rapetti , Claudia Latella , Daniele Pucci

This paper presents a planning algorithm designed to improve cooperative robot behavior concerning human comfort during forceful human-robot physical interaction. Particularly, we are interested in planning for object grasping and…

机器人学 · 计算机科学 2018-10-22 Lipeng Chen , Luis F C Figueredo , Mehmet R. Dogar

Despite the potential benefits of collaborative robots, effective manipulation tasks with quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control system that can handle real-world collaborative…

机器人学 · 计算机科学 2023-08-01 Mohsen Sombolestan , Quan Nguyen

Safe and efficient collaboration among multiple robots in unstructured environments is increasingly critical in the era of Industry 4.0. However, achieving robust and autonomous collaboration among humans and other robots requires modern…

机器人学 · 计算机科学 2023-03-29 Apan Dastider , Mingjie Lin

When studying robots collaborating with humans, much of the focus has been on robot policies that coordinate fluently with human teammates in collaborative tasks. However, less emphasis has been placed on the effect of the environment on…

机器人学 · 计算机科学 2021-06-30 Matthew C. Fontaine , Ya-Chuan Hsu , Yulun Zhang , Bryon Tjanaka , Stefanos Nikolaidis

We present Habitat 3.0: a simulation platform for studying collaborative human-robot tasks in home environments. Habitat 3.0 offers contributions across three dimensions: (1) Accurate humanoid simulation: addressing challenges in modeling…

Deploying a team of robots that can carefully coordinate their actions can make the entire system robust to individual failures. In this report, we review recent algorithmic development in making multi-robot systems robust to environmental…

机器人学 · 计算机科学 2021-05-04 Lifeng Zhou , Pratap Tokekar

Physical human-robot collaboration (pHRC) requires both compliance and safety guarantees since robots coordinate with human actions in a shared workspace. This paper presents a novel fixed-time adaptive neural control methodology for…

机器人学 · 计算机科学 2023-04-27 Yuzhu Sun , Mien Van , Stephen McIlvanna , Nguyen Minh Nhat , Sean McLoone , Dariusz Ceglarek , Shuzhi Sam Ge

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

Mutual adaptation can significantly enhance overall task performance in human-robot co-transportation by integrating both the robot's and human's understanding of the environment. While human modeling helps capture humans' subjective…

机器人学 · 计算机科学 2025-03-13 Al Jaber Mahmud , Weizi Li , Xuan Wang

In the rapidly evolving landscape of human-robot collaboration, effective communication between humans and robots is crucial for complex task execution. Traditional request-response systems often lack naturalness and may hinder efficiency.…

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

Autonomous robots are projected to significantly augment the manual workforce, especially in repetitive and hazardous tasks. For a successful deployment of such robots in human environments, it is crucial to guarantee human safety.…

机器人学 · 计算机科学 2025-07-30 Jakob Thumm , Julian Balletshofer , Leonardo Maglanoc , Luis Muschal , Matthias Althoff

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

Passivity is necessary for robots to fluidly collaborate and interact with humans physically. Nevertheless, due to the unconstrained nature of passivity-based impedance control laws, the robot is vulnerable to infeasible and unsafe…

机器人学 · 计算机科学 2024-03-18 Zhiquan Zhang , Tianyu Li , Nadia Figueroa

In situations where humans and robots are moving in the same space whilst performing their own tasks, predictable paths taken by mobile robots can not only make the environment feel safer, but humans can also help with the navigation in the…

人工智能 · 计算机科学 2022-01-13 Sriram Gopalakrishnan , Subbarao Kambhampati

While social robots are developed to provide assistance to users through social interactions, their behaviors are dominantly pre-programmed and remote-controlled. Despite the numerous robot control architectures being developed, very few…

The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another…

To understand and collaborate with humans, robots must account for individual human traits, habits, and activities over time. However, most robotic assistants lack these abilities, as they primarily focus on predefined tasks in structured…

机器人学 · 计算机科学 2025-10-28 Chenyang Ma , Kai Lu , Ruta Desai , Xavier Puig , Andrew Markham , Niki Trigoni