Henrik I. Christensen

Autonomous driving VLAs can be made conflict-aware by dreaming world models that strictly follow navigation signals, revealing unsafe instruction scenarios.

Exploration bonuses can either amplify or neutralize memory architecture differences, depending on how memory content is acquired and supervised.

Robots can now adapt to drastic physical changes in real-time, maintaining stable locomotion even with a locked leg or added weight.