Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control [accepted]

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Automation of excavation tasks requires real-time trajectory planning satisfying various constraints. To guarantee both constraint feasibility and real-time trajectory re-plannability, we present an integrated framework for real-time optimization-based trajectory planning of a hydraulic excavator. The proposed framework is composed of two main modules: a global planner and a real-time local planner. The global planner computes the entire global trajectory considering excavation volume and energy minimization while the local counterpart tracks the global trajectory in a receding horizon manner, satisfying dynamic feasibility, physical constraints, and disturbance-awareness. We validate the proposed planning algorithm in a simulation environment where two types of operations are conducted in the presence of emulated disturbance from hydraulic friction and soil-bucket interaction: shallow and deep excavation. The optimized global trajectories are obtained in an order of a second, which is tracked by the local planner at faster than 30 Hz. To the best of our knowledge, this work presents the first real-time motion planning framework that satisfies constraints of a hydraulic excavator, such as force/torque, power, cylinder displacement, and flow rate limits.

Bibtex

@INPROCEEDINGS{lee2021real,
  author={D. {Lee} and I. {Jang} and J. {Byun} and H. {Seo} and H. J. {Kim}},
  booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
  title={Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  doi={}}
}

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