3 accepted papers
As modern agriculture progresses, the swift deployment of accurate maps becomes essential for the autonomous navigation and operation of orchard robots. Traditional mapping techniques often fall short in addressing the challenges posed by orchards, which are characterized by unstructured, dynamicall
Ensuring safety in Reinforcement Learning (RL), typically framed as a Constrained Markov Decision Process (CMDP), is crucial for real-world exploration applications. Current approaches in handling CMDP struggle to balance optimality and feasibility, as direct optimization methods can-not ensure stat…
It has become a consensus that autonomous vehicles (AVs) will first be widely deployed on highways. However, the complexity of highway interchanges becomes the bottleneck for their deployment. An AV should be sufficiently tested under different highway interchanges, which is still challenging due to…