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Efficient MultiAgent Trajectory Planning with Feasibility Guarantee using RelativeBersteinPolynomial
GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections
[Tutorial] Optimization, Optimal Control, Trajectory Optimization, and Splines
Lasse Peters - Contingency Games for Multi-Agent Interaction | Nuro Technical Talks
Trajectory Optimization Using Neural Network Gradients of Learned Dynamics
Optimizing Dynamic Trajectories for Robustness to Disturbances using Polytopic Projections
Trajectory optimization using MATLAB- Deterministic approach
Optimization for Control and Planning of Multi-contact Dynamic Motion
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Last Updated: October 21, 2026
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ICRA 2018 Spotlight Video Interactive Session Tue AM Pod G.4 Authors: Robinson, D. Reed; Mar, Robert T.; Estabridis, Katia; ... This video is an introduction to Status: IEEE International Conference on Robotics and Automation (ICRA) 2020 accepted. * Category: Project website: gamma.umd.edu/gameopt Supplementary Arxiv Report: arxiv.org/abs/2202.11572 We propose ... Rob Falck is the lead developer of Dymos. In this talk he gives a short introduction to pseudospectral optimal control methods and ... More projects at robotics-trail.github.io. About the Talk: Contingency planning, wherein an Authors: Nathanael Köhler, Bhavya Sukhija, Miguel Zamora, Simon Zimmermann, Stelian Coros Paper: ... Henrique Ferrolho, Wolfgang Merkt, Vladimir Ivan, Wouter Wolfslag, Sethu Vijayakumar, “Optimizing The idea of this code is to optimize a The fundamental promise of robotics centers on the ability to productively interact
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