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Motion Planning

In-depth coverage and expert perspectives

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High-DOF Configuration Spaces

Addressing the computational complexity of planning trajectories for robotic systems with many degrees of freedom in cluttered environments.

Asymptotic Optimality

Focusing on sampling-based algorithms that guarantee convergence to the optimal solution as computation time increases.

Physics-Aware Constraints

Integrating dynamic limitations and physical interactions directly into the planning loop to ensure executable and safe autonomous behaviors.