3 accepted papers
For multi-robot teams with limited communication, the ability to rapidly recognize the intention of a teammate via its exhibited behavior is key to achieving effective collaboration. While current research on plan and goal recognition provide powerful tools, most of them rely on a high-level abstrac
This paper develops a decentralized approach for mapping and information-driven path planning for Very Large Scale Robotic (VLSR) systems. In this approach, obstacle mapping is performed using a continuous probabilistic representation known as a Hilbert map, which formulates the mapping problem as a…
Bayesian nonparametric models, such as the Dirichlet Process Gaussian Process (DPGP), have been shown very effective at learning models of dynamic targets exclusively from data. Previous work on batch DPGP learning and inference, however, ceases to be efficient in multi-sensor applications that requ…