2 papers
math.OC2026
Rendezvous Planning from Sparse Observations of Optimally Controlled Targets
Thomas A. Scott, Lukas Taus, Yen-Hsi Richard Tsai +2
We develop a probabilistic framework for \emph{rendezvous planning}: given sparse, noisy observations of a fast-moving target, plan rendezvous spatiotemporal coordinates for a set…
cs.RO2024
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
Lukas Taus, Vrushabh Zinage, Takashi Tanaka +1
We revisit the problem of motion planning in the Gaussian belief space. Motivated by the fact that most existing sampling-based planners suffer from high computational costs due to…