A two-stage trajectory prediction algorithm for mobile robots combining the Bayesian and the DMOC frameworks

DOI10.1007/978-3-031-26474-0_3OpenAlexW4321795054MaRDI QIDQ6120583

Wei Luo, Peter Eberhard

Publication date: 25 March 2024

Published in: Informatics in Control, Automation and Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-26474-0_3

zbMATH Keywords

optimizationmobile robotMonte Carlo samplingcomplementarity constrainttrajectory predictiondiscrete mechanics and optimal controlintention evaluation

Mathematics Subject Classification ID

Applications of optimal control and differential games (49N90) Automated systems (robots, etc.) in control theory (93C85) Multi-agent systems (93A16)

Cites Work

• Integrators for nonholonomic mechanical systems
• CasADi: a software framework for nonlinear optimization and optimal control
• Nonholonomic mechanics and control. With the collaboration of J. Baillieul, P. E Crouch, J. E. Marsden and D. Zenkov. With scientific input from P. S. Krishnaprasad and R. M. Murray
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• A New Regularization Method for Mathematical Programs with Complementarity Constraints with Strong Convergence Properties
• Discrete mechanics and optimal control: An analysis
• Discrete mechanics and variational integrators

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