2 accepted papers
Classical manipulator motion planners work across different robot embodiments [1]. However they plan on a pre-specified static environment representation, and are not scalable to unseen dynamic environments. Neural Motion Planners (NMPs) [2] are an appealing alternative to conventional planners as t