ADAPT: An End-to-End Framework for Interactive, Text-Conditioned Humanoid Control
Overview
The Robotic Systems Lab presents ADAPT, an end-to-end framework for interactive, text-conditioned humanoid control, at the CoRL conference. Unlike dominant pipelines that generate kinematic motions for a separate RL tracker, ADAPT solves humanoid language control end-to-end in a closed-loop manner, allowing the robot to continuously respond to changing commands. The project page is available at https://wuyan01.github.io/ADAPT-project/.
Generated from attributed reports · Updated 3 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
No current evidence-backed claims. Missing information remains not reported.
Report timeline
Follow attributed reports and material updates.
- ETH Robotic Systems Lab — XSignalADAPT: An End-to-End Framework for Interactive, Text-Conditioned Humanoid Control
The Robotic Systems Lab presents ADAPT, an end-to-end framework for interactive, text-conditioned humanoid control, at the CoRL conference. Unlike dominant pipelines that generate kinematic motions for a separate RL tracker, ADAPT solves humanoid language control end-to-end in a closed-loop manner, allowing the robot to continuously respond to changing commands. The project page is available at https://wuyan01.github.io/ADAPT-project/.
Event coverage history
Current attention 9·Peak within the comparable range 10(2026-11-03 11:00 UTC)·Change within the comparable range over 24 hours –
The trend compares participants observed continuously; its scope may be narrower than current attention totals. Hover or click to explore hourly observations, or use the left and right arrow keys.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).