AI RESEARCH
SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts
arXiv CS.AI
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ArXi:2606.03512v1 Announce Type: cross Path planning is essential for Autonomous Mobile Robots (AMRs). Conventional methods for incorporating human preferences into planning typically rely on either complex reward engineering or hardware-intensive solutions. Recent state-of-the-art frameworks leverage imitation learning to train behavior-specific path planning models from expert nstrations. However, these approaches face two key limitations: limited generalization to unseen environments and low robustness in nstration collection. To address these challenges, this work