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Kim, S. (author), Happee, R. (author), van Egmond, R. (author)
The design of take-over requests in automated vehicles traditionally focuses on safety and reaction time. We are interested in how take-over requests can be designed from a broader user experience perspective while ensuring safety. This paper proposes designs for ambient sound (i.e., soundscape) and driving noise to inform the driver of...
journal article 2023
document
Adriaensen, A. (author), Pintelon, Liliane (author), Costantino, Francesco (author), Di Gravio, Giulio (author), Patriarca, Riccardo (author)
The safe and efficient application of collaborative robots requires an understanding of actual work practices transformation, emerging from the adoption of new technological instruments. Functional systems-thinking is largely absent in literature about collaborative robot applications. In this context, this study proposes a framework that...
journal article 2023
document
Thirani, Kushal (author), Abbink, D.A. (author), Peternel, L. (author)
This paper studies non-physical feedback mechanisms to guide human workers toward ergonomic body postures. Specifically, the focus is to solve the tasks that involve no direct physical interaction between the human and the robotic system, therefore tactile guidance by the robot body is not feasible. We propose a multi-modal ergonomic posture...
conference paper 2023
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Kim, S. (author), van Grondelle, E.D. (author), van Zeumeren, I.M. (author), Mirnig, Alexander G. (author), Stojmenova, Kristina (author)
In automated vehicles, the driver and the vehicle make a decision on the driving. However, there is no guarantee that drivers always agree or follow the system's decision. Drivers can reject the system's proposal or regain control, and it reduces the usefulness of automated vehicles. When a decision conflict happens, the vehicle can negotiate...
conference paper 2022
document
Rios Lazcano, A.M. (author), Niu, Tenghao (author), Carrera Akutain, Xabier (author), Cole, David (author), Shyrokau, B. (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this study, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
journal article 2021
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Huang, Y. (author), Chen, L. (author), Negenborn, R.R. (author), van Gelder, P.H.A.J.M. (author)
Maritime Autonomous Surface Ships (MASS) attract increasing attention in recent years. Researchers aim at developing fully autonomous systems that replace the role of human operators. Studies either focus on supporting conflict/collision detection (for manned ships) or solving conflict automatically (for unmanned ships). The cooperation...
journal article 2020
document
Cabrall, C.D.D. (author), Janssen, Nico (author), de Winter, J.C.F. (author)
Background<br/>Automated driving is often proposed as a solution to human errors. However, fully automated driving has not yet reached the point where it can be implemented in real traffic. This study focused on adaptively allocating steering control either to the driver or to an automated pilot based on momentary driver distraction measured...
journal article 2018
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Bazilinskyy, P. (author), Kovacsova, N. (author), Al Jawahiri, Amir (author), Kapel, Pieter (author), Mulckhuyse, Joppe (author), Wagenaar, Sjors (author), de Winter, J.C.F. (author)
conference paper 2016
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