DRL navigation in dynamic environment | Autonomous Robots

DRL navigation in dynamic environment | Autonomous Robots

IROS 2022 Supplemental Video: DRL based Robot Navigation using Occupancy Values of Motion PrimitivesПодробнее

IROS 2022 Supplemental Video: DRL based Robot Navigation using Occupancy Values of Motion Primitives

AMR Navigation in Dynamic Real-World Environments Without Maps With Zero-Shot DRLПодробнее

AMR Navigation in Dynamic Real-World Environments Without Maps With Zero-Shot DRL

IROS 2022 Paper Presentation: DRL based Robot Navigation using Occupancy Values of Motion PrimitivesПодробнее

IROS 2022 Paper Presentation: DRL based Robot Navigation using Occupancy Values of Motion Primitives

Deep Reinforcement Learning for Autonomous Navigation in Dynamic Environments - CASE 2020Подробнее

Deep Reinforcement Learning for Autonomous Navigation in Dynamic Environments - CASE 2020

DWA-RL: Dynamically Feasible Deep RL Policy for Robot Navigation among Mobile ObstaclesПодробнее

DWA-RL: Dynamically Feasible Deep RL Policy for Robot Navigation among Mobile Obstacles

ARAS Webinar on Safe and Resilient Autonomous Navigation in Highly Dynamic EnvironmentsПодробнее

ARAS Webinar on Safe and Resilient Autonomous Navigation in Highly Dynamic Environments

DRL in the Navigation of Mobile Robots in Static and Dynamic EnvironementsПодробнее

DRL in the Navigation of Mobile Robots in Static and Dynamic Environements