
REDEFINED proposes a novel real-time motion planning algorithm using neural networks for safe trajectory design.


coremsg

efficient-reachability-based-trajectory-design-with-neural-networks


Efficient Reachability-based Trajectory Design with Neural Networks


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PINSAT introduces systematic parallelization in INSAT to reduce planning times while maintaining lower costs.


pinsat-parallelized-interleaving-of-graph-search-and-trajectory-optimization-for-kinodynamic-motion-planning


PINSAT: Parallelized Interleaving of Graph Search and Trajectory Optimization for Kinodynamic Motion Planning



The author presents a robust motion planning algorithm that learns obstacle uncertainties to improve safety and feasibility in dynamic environments.


robust-predictive-motion-planning-by-learning-obstacle-uncertainty


Robust Predictive Motion Planning by Learning Obstacle Uncertainty



The author explores the parameterized complexity of motion planning for rectangular robots, focusing on axis-aligned translations and different motion modes, providing fixed-parameter tractable algorithms.


Parameterized-Complexity-of-Motion-Planning-for-Rectangular-Robots


Parameterized Complexity of Motion Planning for Rectangular Robots
