1 citations · 1 across the 3 of their papers we have counts for
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Size Doesn't Matter: Material-State Reinforcement Learning for Excavator Transferable Soil Manipulation
Lennart Werner, Pol Eyschen, Sean Costello +3
Earthmoving tasks such as excavation, backfilling, or embankment construction require deliberate repositioning of deformable soil. For these tasks, human operators use all shovel f…
High Precision Hydraulic Excavator Control for Heavy-Duty Grading
Lennart Werner, Pol Eyschen, Sean Costello +2
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…
Calibrated Dynamic Modeling for Force and Payload Estimation in Hydraulic Machinery
Lennart Werner, Pol Eyschen, Sean Costello +2
Accurate real-time estimation of end effector interaction forces in hydraulic excavators is a key enabler for advanced automation in heavy machinery. Accurate knowledge of these fo…
ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments
Lorenzo Terenzi, Julian Nubert, Pol Eyschen +4
Construction sites are challenging environments for autonomous systems due to their unstructured nature and the presence of dynamic actors, such as workers and machinery. This work…
Dynamic Throwing with Robotic Material Handling Machines
Lennart Werner, Fang Nan, Pol Eyschen +3
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 greatl…