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20192026
most citedRobot Control for Simultaneous Impact Tasks through Time-Invariant Reference Spreading

6 citations · 12 across the 21 of their papers we have counts for

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7 papers · 1 filter

cs.RO2024

Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations

Leon Tolksdorf, Christian Birkner, Arturo Tejada +1

Many state-of-the-art methods for safety assessment and motion planning for automated driving require estimation of the probability of collision (POC). To estimate the POC, a shape…

cs.RO2023

Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields

Chris van der Ploeg, Truls Nyberg, José Manuel Gaspar Sánchez +2

As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS)…

cs.RO2023

Adaptive Headway Motion Control and Motion Prediction for Safe Unicycle Motion Design

Aykut İşleyen, Nathan van de Wouw, Ömür Arslan

Differential drive robots that can be modeled as a kinematic unicycle are a standard mobile base platform for many service and logistics robots. Safe and smooth autonomous motion a…

cs.RO2022

Dual Arm Impact-Aware Grasping through Time-Invariant Reference Spreading Control

Jari J. van Steen, Abdullah Coşgun, Nathan van de Wouw +1

With the goal of increasing the speed and efficiency in robotic dual arm manipulation, a novel control approach is presented that utilizes intentional simultaneous impacts to rapid…

cs.RO2022

Feedback Motion Prediction for Safe Unicycle Robot Navigation

Aykut İşleyen, Nathan van de Wouw, Ömür Arslan

As a simple and robust mobile robot base, differential drive robots that can be modelled as a kinematic unicycle find significant applications in logistics and service robotics in…

cs.RO2022★ 6 cited

Robot Control for Simultaneous Impact Tasks through Time-Invariant Reference Spreading

Jari J. van Steen, Nathan van de Wouw, Alessandro Saccon

With the goal of enabling the exploitation of impacts in robotic manipulation, a new framework is presented for control of robotic manipulators that are tasked to execute nominally…