PlannerFlows: Learning Motion Samplers with Normalising Flows
Tin Lai,Fabio Ramos,Tin Lai,Fabio Ramos
Sampling-based motion planning is the predominant paradigm in many real-world robotic applications, but its performance is immensely dependent on the quality of the samples. The majority of traditional planners are inefficient as they use uninformative sampling distributions instead of exploiting structures and patterns in the problem to guide better sampling strategies. Moreover, most current lea...
