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Zifei Wu

1 accepted papers

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

Cited by 2SourceScholar