Embodied failure recovery
Collecting auditable trajectories that preserve failures, recovery attempts, and counterfactual branches.
Research
Page 1 - Showing 3 of 3 themes
I am interested in building agents that can learn from interactions, failures, and visual dynamics rather than only from final outcomes.
Embodied AIWorld ModelsVideo UnderstandingMixture-of-ExpertsData-Centric Learning Systems
Video world models
Studying how routed video models represent visual changes, dynamics, and physical interactions.
Multi-agent data
Contributing interaction data and quality control for world-model research in multi-agent settings.
Current work
Work in progress, stated plainly.
AAAI submission in preparation
Embodied Failure-Recovery Data Collection
A data-collection and evaluation workflow for recoverable embodied task failures in AI2-THOR, with replayable traces and branch-level evidence.
Ongoing research
LingBot Video MoE Routing
Controlled analysis of routing behavior and targeted gate interventions in a video mixture-of-experts model.
Ongoing collaboration
Multi-Agent World-Model Data Collection
Contributing multi-agent interaction data and quality control. Model training is planned for a later stage.