1 citations · 2 across the 13 of their papers we have counts for
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Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner +1
Recent automated vehicle (AV) motion planning strategies evolve around minimizing risk in road traffic. However, they exclusively consider risk from the AV's perspective and, as su…
Risk Estimation for Automated Driving
Leon Tolksdorf, Arturo Tejada, Jonas Bauernfeind +2
Safety is a central requirement for automated vehicles. As such, the assessment of risk in automated driving is key in supporting both motion planning technologies and safety evalu…
Collision Probability Estimation for Optimization-based Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner +1
Many motion planning algorithms for automated driving require estimating the probability of collision (POC) to account for uncertainties in the measurement and estimation of the mo…
Impact-Aware Control using Time-Invariant Reference Spreading
Jari van Steen, Nathan van de Wouw, Alessandro Saccon
With the goal of increasing the speed and efficiency in robotic manipulation, a control approach is presented that aims to utilize intentional simultaneous impacts to its advantage…
Impact-Aware Robotic Manipulation: Quantifying the Sim-To-Real Gap for Velocity Jumps
Jari van Steen, Daan Stokbroekx, Nathan van de Wouw +1
Impact-aware robotic manipulation benefits from an accurate map from ante-impact to post-impact velocity signals to support, e.g., motion planning and control. This work proposes a…
Switching control for tracking of a hybrid position-force trajectory
D. J. F. Heck, A. Saccon, N. van de Wouw +1
This work proposes a control law for a manipulator with the aim of realizing desired time-varying motion-force profiles in the presence of a stiff environment. In many cases, the i…