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Real-time Mixed-integer Programming for Vehicle Decision Making and Motion Planning
Aggressive trajectories for autonomous vehicles using Mixed-Integer Programming
MILP Models for Multi-Robot Non-Adversarial Search
Whole-body Motion Planning with Simple Dynamics and Full Kinematics
Real Time Mixed Integer Motion Planning with MPC Based Trajectory Tracking Control
Model Predictive Control with Mixed Integer Nonlinear Programming
Evaluating direct transcription and nonlinear optimization methods for robot motion planning
Distributed motion planning for multi-vehicle systems
MAPS-X: Explainable Multi-Robot Motion Planning via Segmentation
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Last Updated: August 21, 2026
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