Yankun Wei

CIT: Context-Based Biased Batch-Sampling for Almost-Surely Asymptotically Optimal Motion Planning

This paper introduces Context Informed Trees (CIT*), a sampling-based motion planning algorithm that enhances exploration efficiency by biasing sampling based on uncertainty estimation from local samples and connectivity information obtained during the search process. CIT* is based on Flexible Infor