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20222025
most citedWhen to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning

1 citations · 2 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.RO2023

Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles

Kohei Honda, Naoki Akai, Kosuke Suzuki +4

This paper presents a novel Stochastic Optimal Control (SOC) method based on Model Predictive Path Integral control (MPPI), named Stein Variational Guided MPPI (SVG-MPPI), designed…

cs.RO2023★ 1 cited

When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning

Kohei Honda, Ryo Yonetani, Mai Nishimura +1

The hierarchy of global and local planners is one of the most commonly utilized system designs in autonomous robot navigation. While the global planner generates a reference path f…