This set of papers presents work in motion planning and coordination for collaborative multi-robots using MPC and strong duality.
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This set of papers presents work in trajectory generation and motion planning for collaborative multi-agent systems using hierarchical and distributed iterative learning methods.
Publications:
Zhu,E., Stürz,Y., Rosolia,U., & Borrelli,F. (2020). Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. arXiv preprint arXiv:2004.01298.
Stürz,Y., Zhu,E., Rosolia,U., Johansson,K.H. & Borrelli,F. (2020). Distributed Learning Model Predictive Control for Linear Systems. arXiv preprint arXiv:2006.13406.
Three car example
Ten car initialization trajectory
Ten car converged trajectory at iteration 22
This set of papers shows decentralized collaborative robotic path planning and obstacle avoidance in uncertain environments.
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GitHub repositories: