Searched for: subject%3A%22Human%255C-robot%255C%2Binteraction%22
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Xu, Ke (author)
The problem of assisting users in comprehending the robotic scenario information in a retail setting has been studied. To design the system, an integrated ontology composed of several IEEE standard ontologies and a labelled property graph (LPG)-based ontology modified from the Web Ontology Language (OWL)-based ontology was proposed to symbolize...
master thesis 2023
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Halman, Susanna (author)
This thesis presents the research to design a successful high-accuracy, sub-millimetric registration method for an autonomous robot equipped to drill bone for cochlear implant (CI) surgery. Its performance, and thus success, is measured in accuracy, workload, usability and trust. While state-of-the-art (STOTA) research lacks the inclusion of...
master thesis 2023
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Mollen, J.K. (author), Van Der Putten, Peter (author), Darling, Kate (author)
Due to an increased presence of robots in human-inhabited environments, we observe a growing body of examples in which humans show behavior that is indicative of strong social engagement towards robots that do not possess any life-like realism in appearance or behavior. In response, we focus on the under-explored concept of a common locus as a...
journal article 2023
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Hoggenmueller, Marius (author), Lupetti, M.L. (author), van der Maden, W.L.A. (author), Grace, Kazjon (author)
Design fixation, a phenomenon describing designers' adherence to pre-existing ideas or concepts that constrain design outcomes, is particularly prevalent in human-robot interaction (HRI), for example, due to collectively held and stabilised imaginations of what a robot should look like or behave. In this paper, we explore the contribution of...
conference paper 2023
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Zhou, Y. (author)
Robots navigating in social environments inevitably exhibit behavior perceived as inappropriate by people, which they will repeat unless they are aware of them; hindering their social acceptance. This highlights the importance of robots detecting and adapting to the perceived appropriateness of their behavior, in line with what we found in a...
conference paper 2023
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Lee, Y. (author), Specht, M.M. (author)
Reading on digital devices has become more commonplace, while it often poses challenges to learners' attention. In this study, we hypothesized that allowing learners to reflect on their reading phases with an empathic social robot companion might enhance learners' attention in e-reading. To verify our assumption, we collected a novel dataset ...
conference paper 2023
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Avaei, S. (author), van der Spaa, L.F. (author), Peternel, L. (author), Kober, J. (author)
Humans often demonstrate diverse behaviors due to their personal preferences, for instance, related to their individual execution style or personal margin for safety. In this paper, we consider the problem of integrating both path and velocity preferences into trajectory planning for robotic manipulators. We first learn reward functions that...
journal article 2023
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Botros, Alexander (author), Sadeghi, Armin (author), Wilde, N. (author), Alonso Mora, J. (author), Smith, Stephen L. (author)
Many problems in robotics seek to simultaneously optimize several competing objectives under constraints. A conventional approach to solving such multi-objective optimization problems is to create a single cost function comprised of the weighted sum of the individual objectives. Solutions to this scalarized optimization problem are Pareto...
conference paper 2023
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Haninger, Kevin (author), Hegeler, Christian (author), Peternel, L. (author)
Robotic tasks which involve uncertainty – due to variation in goal, environment configuration, or confidence in task model – may require human input to instruct or adapt the robot. In tasks with physical contact, several existing methods for adapting robot trajectory or impedance according to individual uncertainties have been proposed, e.g.,...
journal article 2023
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Stefan, David (author)
Different types of sensors that monitor the driver, the vehicle, and the surroundings are increasingly being implemented in vehicles. These developments are relevant to formal driving test organizations for the use of sensors in the assessment of driving behaviour. However, no guidelines exist about the exact use of sensor-generated data for...
master thesis 2022
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Steehouwer, Enzo (author)
The Dutch metropolis of Amsterdam deals with a waste problem. Both the inhabitants and tourists in Amsterdam experience nuisance from litter. The future growth of Amsterdam will only amplify this problem. To address this, the municipality needs to increase the productivity of the Schoon department, the department tasked with keeping the public...
master thesis 2022
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van Beem, Marnix (author)
State-of-the-art object grasping with 7-DOF robotic manipulators requires joint configuration planning methods in order to provide position control of the end-effector. These motion planners are able to calculate a motion plan to execute a safe grasp, while taking environmental constraints into account. In human-robot...
master thesis 2022
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van Dam, Jessie (author)
To safely deploy legged robots in the real world, it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force. Therefore, a collision detection, isolation, and identification pipeline is proposed for a quadrupedal manipulator. An approach based on band-pass...
master thesis 2022
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Gonzalez Gonzalez, Irene (author)
Robot systems are essentially a new species spreading around us, one that we willingly designed and introduced. Neither a natural species nor a mere human artefact. We have limited information about these smart agents. What do they want, what do you need from us, and how can we find a common ground of understanding to enhance each other through...
master thesis 2022
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Bayón, Cristina (author), Keemink, Arvid Q.L. (author), van Mierlo, Michelle (author), Rampeltshammer, Wolfgang (author), van der Kooij, H. (author), van Asseldonk, Edwin H.F. (author)
BACKGROUND: In the last two decades, lower-limb exoskeletons have been developed to assist human standing and locomotion. One of the ongoing challenges is the cooperation between the exoskeleton balance support and the wearer control. Here we present a cooperative ankle-exoskeleton control strategy to assist in balance recovery after...
journal article 2022
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Kaptein, F.C.A. (author), Kiefer, Bernd (author), Cully, Antoine (author), Celiktutan, Oya (author), Bierman, Bert (author), Rijgersberg-Peters, Rifca (author), Broekens, D.J. (author), Van Vught, Willeke (author), Van Bekkum, Michael (author), Demiris, Yiannis (author), Neerincx, M.A. (author)
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base...
journal article 2022
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Ligthart, Mike E.U. (author), Neerincx, M.A. (author), Hindriks, K.V. (author)
In this article we discuss two studies of children getting acquainted with an autonomous socially assistive robot. The success of the first encounter is key for a sustainable long-term supportive relationship. We provide four validated behavior design elements that enable the robot to robustly get acquainted with the child. The first are five...
journal article 2022
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de Winter, J.C.F. (author), Petermeijer, S.M. (author), Abbink, D.A. (author)
A major question in human-automation interaction is whether tasks should be traded or shared between human and automation. This work presents reflections—which have evolved through classroom debates between the authors over the past 10 years—on these two forms of human-automation interaction, with a focus on the automated driving domain. As...
journal article 2022
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Guo, Peicheng (author), Smit, I.R. (author)
With the development of Artificial intelligence, the connected objects are extended with the predictive capabilities and the character of things can change to “things that predict”. If a connected device is able to embrace a predictive system that not only profiles for scripted behavior but could also use the knowledge co-created by all the...
conference paper 2022
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Gil Andres, Álvaro (author)
Human-robot interaction is a growing field that aims to research and develop communication channels between humans and robots to enhance comfort, safety, and productivity in healthcare, the household, and the industry. Researchers have considered ergonomy-related metrics to compose these channels for physical human-robot collaborative scenarios....
master thesis 2021
Searched for: subject%3A%22Human%255C-robot%255C%2Binteraction%22
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