19 citations · 62 across the 14 of their papers we have counts for
14 papers
Data-Efficient Extremum-Seeking Control Using Kernel-Based Function Approximation
Wouter Weekers, Alessandro Saccon, Nathan van de Wouw
Existing extremum-seeking control (ESC) approaches typically rely on applying repeated perturbations to input parameters and performing measurements of the corresponding performanc…
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…
Quadratic Programming-based Reference Spreading Control for Dual-Arm Robotic Manipulation with Planned Simultaneous Impacts
Jari van Steen, Gijs van den Brandt, Nathan van de Wouw +2
With the aim of further enabling the exploitation of intentional impacts in robotic manipulation, a control framework is presented that directly tackles the challenges posed by tra…
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…
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…