LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulation
Jin Lou, Zhi Jing, A. Chen et al.
· 0 citations
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Open access
Aug 2026
Design of Control Strategies for Autonomous Vehicles Targeting Aggressive Driving Behaviors in Mixed Traffic
An integrated safety-control framework that combines real-world-data-driven behavior modeling with deep reinforcement learning to design longitudinal AV control strategies for mixed traffic containing aggressive human drivers is proposed.
Zhijun Zhu, Xinyi Fang, Lin-Jun Lu
· Applied Sciences · 0 citations
LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction
LM-X is introduced, which organizes prediction across task, event, and motor scales without claiming anatomical correspondence and shows that explicit multi-timescale predictive state can strengthen control while exposing interpretable internal estimates.
Jin Lou, Zhi Jing, Xu-Peng Wang et al.
· 0 citations