3 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation
Vrushabh Zinage, Ali Reza Pedram, Takashi Tanaka
In this paper, we consider the motion planning problem in Gaussian belief space for minimum sensing navigation. Despite the extensive use of sampling-based algorithms and their rig…
A Smoothing Algorithm for Minimum Sensing Path Plans in Gaussian Belief Space
Ali Reza Pedram, Takashi Tanaka
This paper explores minimum sensing navigation of robots in environments cluttered with obstacles. The general objective is to find a path plan to a goal region that requires minim…
Upper and Lower Bounds for End-to-End Risks in Stochastic Robot Navigation
Apurva Patil, Takashi Tanaka
We present novel upper and lower bounds to estimate the collision probability of motion plans for autonomous agents with discrete-time linear Gaussian dynamics. Motion plans genera…
Gaussian Belief Space Path Planning for Minimum Sensing Navigation
Ali Reza Pedram, Riku Funada, Takashi Tanaka
We propose a path planning methodology for a mobile robot navigating through an obstacle-filled environment to generate a reference path that is traceable with moderate sensing eff…