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... and basically yeah what I've been working on is A Behavior-Based Mobile Robot Navigation Method with Deep Reinforcement Learning TL;DR: Human-video priors are useful not only for policy initialization, but also for driving Daniel Honerkamp, Tim Welschehold, Abhinav Valada N2M2: By combining off-the-shelf sensors and sensor fusion techniques with a custom-built reinforcement In this video, Atlas is demonstrating policies developed using reinforcement
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Robot Self-Improvement via Human-Video Dynamics Models
Virtual-to-real Deep Reinforcement Learning: Mobile Robots Mapless Navigation
Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Autonomous mobile robots navigating dynamic environments
mod03lec13 - Mobile Robot Dynamics - Part 1
Learning Inverse Dynamics for Robot Control
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Walk, Run, Crawl, RL Fun | Boston Dynamics | Atlas
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
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Last Updated: June 12, 2026
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