2024
Demonstration Data-Driven Parameter Adjustment for Trajectory Planning in Highly Constrained Environments
RA-L 2024
Trajectory planning in highly constrained environments is crucial for robotic navigation. Classical algorithms are widely used for their interpretability, generalization, and system robustness. However, these algorithms often require parameter retuning when adapting to new scenarios. To address this