Searched for: subject%3A%22Human%255C-Robot%255C+Collaboration%22
(1 - 14 of 14)
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van der Spaa, L.F. (author)
Physical human-robot cooperation (pHRC) has the potential to combine human and robot strengths in a team that can achieve more than a human and a robot working on the task separately. However, how much of the potential can be realized depends on the quality of cooperation, in which awarenes of the partner’s intention and preferences plays an...
doctoral thesis 2024
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Ahmed, Akmal (author)
As robots become increasingly popular and co-inhabit spaces with people, there is a need for designing robots that people are comfortable interacting with. For robots to successfully integrate into human society, it is important to design robots in a way that enhances the quality of the human-robot interaction. While the human-robot relationship...
master thesis 2023
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Joo, Jeongha (author)
As automation technology continues to transform various industries, achieving both high operational reliability and high efficiency emerges as a critical challenge in task delegation between humans and Automated Systems (ASs). This project, conducted in collaboration with the Royal Schiphol Group (RSG), investigates the intricate dynamics of...
master thesis 2023
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Loopik, Hugo (author)
This paper addresses the research question: “How can a human-robot team achieve co-learning, and interdependence in physically embodied tasks?”<br/>A method has been developed that enables a human-robot team to co-learn the handover of an object from the robot to the human. Five design requirements were composed to address the challenges of...
master thesis 2023
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de Paula, A. (author)
The construction industry’s impact on carbon emissions, pollution, and resource depletion necessitates innovative approaches to reduce environmental harm. This research explores the use of computational design, digital fabrication, and timber as a renewable material to mitigate the construction industry’s environmental impact. Timber is...
master thesis 2023
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Maessen, Rosa E.S. (author), Prendergast, J.M. (author), Peternel, L. (author)
Skill propagation among robots without human involvement can be crucial in quickly spreading new physical skills to many robots. In this respect, it is a good alternative to pure reinforcement learning, which can be time-consuming, or learning from human demonstration, which requires human involvement. In the latter case, there may not be...
journal article 2023
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Loo, JUN WEN (author)
Buiksloterham, situated on the northern banks of the IJ river, is undergoing massive urban redevelopment as it transits from an industrial town to a mix-use development. However the lack of connectivity within the neighbourhood has become an ever more prominent problem for its growing residents and workers. Gemeente Amsterdam has proposed the...
master thesis 2022
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Hoogerwerf, Eert (author), Bharatheesha, M. (author), Clever, Debora (author)
Collaboration between humans and robots is an important aspect of Industry 4.0. It can be improved by incorporating human-like characteristics into robot motion planning. It is assumed that humans move optimal with respect to a certain objective or cost function. To find this function, also for a robot, we use an inverse optimal control...
journal article 2021
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van Zoelen, E.M. (author), Van Den Bosch, Karel (author), Neerincx, M.A. (author)
Becoming a well-functioning team requires continuous collaborative learning by all team members. This is called co-learning, conceptualized in this paper as comprising two alternating iterative stages: partners adapting their behavior to the task and to each other (co-adaptation), and partners sustaining successful behavior through...
journal article 2021
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Niu, Y. (author), Schulte, F. (author), Negenborn, R.R. (author)
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. This work aims to let robots learn about human discomfort in collaborative order picking of robotic mobile fulfillment systems. To this end, a multi-agent reinforcement (MARL) approach that...
journal article 2021
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van Zoelen, E.M. (author), van den Bosch, Karel (author), Rauterberg, Matthias (author), Barakova, Emilia (author), Neerincx, M.A. (author)
As robots become more ubiquitous, they will increasingly need to behave as our team partners and smoothly adapt to the (adaptive) human team behaviors to establish successful patterns of collaboration over time. A substantial amount of adaptations present themselves through subtle and unconscious interactions, which are difficult to observe....
journal article 2021
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Niu, Y. (author), Schulte, F. (author)
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. In this work, we let robots learn about human stress levels based on sensor data in collaborative order picking of robotic mobile fulfillment systems. To this end, we develop a multi-agent...
conference paper 2021
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Bier, H.H. (author), Nazzarri, G. (author)
While the global impact of plastic waste is increasingly concerning, the application of reused materials in the built environment remains little explored. This paper presents research into the reuse of plastic in architecture by means of computational design and robotic fabrication. Design possibilities using reclaimed plastic artefacts were...
conference paper 2020
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Peternel, L. (author), Fang, Cheng (author), Tsagarakis, Nikos (author), Ajoudani, Arash (author)
In this paper, we propose a method for selective monitoring and management of human muscle fatigue in human-robot co-manipulation scenarios. The proposed approach uses a machine learning technique to learn the complex relationship between individual human muscle forces, arm configuration and arm endpoint force that are provided by a...
journal article 2019
Searched for: subject%3A%22Human%255C-Robot%255C+Collaboration%22
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