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Multi-robot manipulation tasks involve various control entities that can be separated into dynamically independent parts. A typical example of such real-world tasks is dual-arm manipulation. Learning to naively solve such tasks with…

Robotics · Computer Science 2022-11-30 Elie Aljalbout , Maximilian Karl , Patrick van der Smagt

This work addresses the coordination problem of multiple robots with the goal of finding specific hazardous targets in an unknown area and dealing with them cooperatively. The desired behaviour for the robotic system entails multiple…

Robotics · Computer Science 2019-03-29 Nunzia Palmieri , Xin-She Yang , Floriano De Rango , Amilcare Francesco Santamaria

In order to be effective teammates, robots need to be able to understand high-level human behavior to recognize, anticipate, and adapt to human motion. We have designed a new approach to enable robots to perceive human group motion in…

Robotics · Computer Science 2016-11-15 Tariq Iqbal , Samantha Rack , Laurel D. Riek

Forthcoming applications concerning humanoid robots may involve physical interaction between the robot and a dynamic environment. In such scenario, classical balancing and walking controllers that neglect the environment dynamics may not be…

Despite cobots have high potential in bringing several benefits in the manufacturing and logistic processes, but their rapid (re-)deployment in changing environments is still limited. To enable fast adaptation to new product demands and to…

In this paper, we propose a unified whole-body control framework for velocity-controlled mobile collaborative robots which can distribute task motion into the arm and mobile base according to specific task requirements by adjusting…

Robotics · Computer Science 2022-11-08 Zhangjie Tu , Tianwei Zhang , Lei Yan , Tin lun Lam

In collaborative robotic applications, human and robot have to work together during a whole shift for executing a sequence of jobs. The performance of the human robot team can be enhanced by scheduling the right tasks to the human and the…

Robotics · Computer Science 2025-07-04 Andrea Pupa , Wietse Van Dijk , Cristian Secchi

Achieving effective and seamless human-robot collaboration requires two key outcomes: enhanced team performance and fostering a positive human perception of both the robot and the collaboration. This paper investigates the capability of the…

Robotics · Computer Science 2024-10-30 Ali Noormohammadi-Asl , Kevin Fan , Stephen L. Smith , Kerstin Dautenhahn

Robots existed as separate entities till now, but the horizons of a symbiotic human-robot partnership are impending. Despite all the recent technical advances in terms of hardware, robots are still not endowed with desirable relational…

Jumping can be an effective way of locomotion to overcome small terrain gaps or obstacles. In this paper we propose two different approaches to perform jumps with a humanoid robot. Specifically, starting from a pre-defined CoM trajectory we…

Robotics · Computer Science 2022-07-06 Fabio Bergonti , Luca Fiorio , Daniele Pucci

This paper addresses two intertwined needs for collaborative robots operating in shop-floor environments. The first is the ability to perform complex manipulation operations, such as those on articulated or even flexible objects, in a way…

Many industrial tasks-such as sanding, installing fasteners, and wire harnessing-are difficult to automate due to task complexity and variability. We instead investigate deploying robots in an assistive role for these tasks, where the robot…

Robotics · Computer Science 2024-01-24 Michael Hagenow , Emmanuel Senft , Robert Radwin , Michael Gleicher , Michael Zinn , Bilge Mutlu

We present a method for learning a human-robot collaboration policy from human-human collaboration demonstrations. An effective robot assistant must learn to handle diverse human behaviors shown in the demonstrations and be robust when the…

Robotics · Computer Science 2023-09-21 Chen Wang , Claudia Pérez-D'Arpino , Danfei Xu , Li Fei-Fei , C. Karen Liu , Silvio Savarese

A remote collaboration setup allows an expert to instruct a remotely located novice user to help them with a task. Advanced solutions exist in the field of remote guidance and telemanipulation, however, we lack a device that combines these…

Robotics · Computer Science 2020-10-23 Janis Stolzenwald , Walterio W. Mayol-Cuevas

This paper introduces collaborating robots which provide the possibility of enhanced task performance, high reliability and decreased. Collaborating-bots are a collection of mobile robots able to self-assemble and to self-organize in order…

Neural and Evolutionary Computing · Computer Science 2012-12-27 M. A. El-Dosuky , M. Z. Rashad , T. T. Hamza , A. H. EL-Bassiouny

With the advances in robotic technology, research in human-robot collaboration (HRC) has gained in importance. For robots to interact with humans autonomously they need active decision making that takes human partners into account. However,…

Robotics · Computer Science 2017-05-30 Judith Bütepage , Danica Kragic

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…

In hybrid industrial environments, workers' comfort and positive perception of safety are essential requirements for successful acceptance and usage of collaborative robots. This paper proposes a novel human-robot interaction framework in…

Robotics · Computer Science 2023-01-02 Marta Lagomarsino , Marta Lorenzini , Elena De Momi , Arash Ajoudani

The new paradigm of human-robot collaboration has led to the creation of shared work environments in which humans and robots work in close contact with each other. Consequently, the safety regulations have been updated addressing these new…

Robotics · Computer Science 2025-07-04 Andrea Pupa , Mohammad Arrfou , Gildo Andreoni , Cristian Secchi

Letting robots emulate human behavior has always posed a challenge, particularly in scenarios involving multiple robots. In this paper, we presented a framework aimed at achieving multi-agent reinforcement learning for robot control in…

Robotics · Computer Science 2023-05-25 Kangkang Duan , Christine Wun Ki Suen , Zhengbo Zou
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