Reference Summary: By combining off-the-shelf sensors and sensor fusion techniques with a custom-built reinforcement learning AI algorithm, we are ... Speaker: Gonzalo Ferrer - Skoltech The task of navigating, that is, moving from one place to another in any kind of

Robot Navigation In Dynamic Environments -

By combining off-the-shelf sensors and sensor fusion techniques with a custom-built reinforcement learning AI algorithm, we are ... Speaker: Gonzalo Ferrer - Skoltech The task of navigating, that is, moving from one place to another in any kind of Abstract: In this work, we present a learning-based pipeline to realise local

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  • By combining off-the-shelf sensors and sensor fusion techniques with a custom-built reinforcement learning AI algorithm, we are ...
  • Speaker: Gonzalo Ferrer - Skoltech The task of navigating, that is, moving from one place to another in any kind of
  • Abstract: In this work, we present a learning-based pipeline to realise local
  • We present a novel Deep Reinforcement Learning (DRL) based policy to compute
  • FZI and IRT Jules Verne have developed together the Human Aware Mobile

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Robot navigation in dynamic environments

Robot navigation in dynamic environments

Speaker: Gonzalo Ferrer - Skoltech The task of navigating, that is, moving from one place to another in any kind of

Robot Navigation in Dynamic Social Environments

Robot Navigation in Dynamic Social Environments

Read more details and related context about Robot Navigation in Dynamic Social Environments.

Interactive Motion Planning for Mobile Robot Navigation in Dynamic Environments

Interactive Motion Planning for Mobile Robot Navigation in Dynamic Environments

Read more details and related context about Interactive Motion Planning for Mobile Robot Navigation in Dynamic Environments.

Human Aware Mobile Robot Navigation (HA-MRN) in Large Scale Dynamic Environments | SHOP4CF

Human Aware Mobile Robot Navigation (HA-MRN) in Large Scale Dynamic Environments | SHOP4CF

FZI and IRT Jules Verne have developed together the Human Aware Mobile

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

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

We present a novel Deep Reinforcement Learning (DRL) based policy to compute

Social Motion Model for Socially Aware Robot Navigation in Crowded and Dynamic Environments

Social Motion Model for Socially Aware Robot Navigation in Crowded and Dynamic Environments

Read more details and related context about Social Motion Model for Socially Aware Robot Navigation in Crowded and Dynamic Environments.

Autonomous mobile robots navigating dynamic environments

Autonomous mobile robots navigating dynamic environments

By combining off-the-shelf sensors and sensor fusion techniques with a custom-built reinforcement learning AI algorithm, we are ...

Human-friendly robot navigation in dynamic environments

Human-friendly robot navigation in dynamic environments

Read more details and related context about Human-friendly robot navigation in dynamic environments.

Learning a State Representation and Navigation in Cluttered and Dynamic Environments

Learning a State Representation and Navigation in Cluttered and Dynamic Environments

Abstract: In this work, we present a learning-based pipeline to realise local

Mobile robot navigation in dynamic environment

Mobile robot navigation in dynamic environment

Read more details and related context about Mobile robot navigation in dynamic environment.