Pol Eyschen — accepted AI-conference papers

2026

High Precision Hydraulic Excavator Control for Heavy Duty Grading

Lennart Werner, Pol Eyschen, Sean Costello, Andrei Cramariuc, Marco Hutter

RSS 2026poster

High-precision heavy-duty grading is a common step in earthworks, traditionally carried out manually by skilled operators. Removing a significant amount of material while achieving a high-precision surface requires substantial machine-specific experience. Different hydraulic architectures react diff…

Cited by 0 Source ↗Scholar ↗

2024

Dynamic Throwing with Robotic Material Handling Machines

Lennart Werner, Fang Nan, Pol Eyschen, Filippo A. Spinelli, Hongyi Yang, Marco Hutter

IROS 2024poster

Automation of hydraulic material handling machinery is currently limited to semi-static pick-and-place cycles. Dynamic throwing motions which utilize the passive joints, can greatly improve time efficiency as well as increase the dumping workspace. In this work, we use Reinforcement Learning (RL) to…

Cited by 1 Source ↗Scholar ↗