Autonomous excavator controller achieves 1.8 cm RMSE in heavy-duty grading across different hydraulic architectures, outperforming commercial solutions by a factor of 2.6 in precision while better utilizing machine pressure.
Learning Excavation of Rigid Objects with Offline Reinforcement Learning
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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A burial-conditioned curriculum in particle simulation trains effective policies for excavator obstacle removal that transfer successfully to a real 12-ton excavator.
citing papers explorer
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High Precision Hydraulic Excavator Control for Heavy-Duty Grading
Autonomous excavator controller achieves 1.8 cm RMSE in heavy-duty grading across different hydraulic architectures, outperforming commercial solutions by a factor of 2.6 in precision while better utilizing machine pressure.
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Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation
A burial-conditioned curriculum in particle simulation trains effective policies for excavator obstacle removal that transfer successfully to a real 12-ton excavator.