Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
IEEE

ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation

Abstract: In this letter, we propose ContactSDF, a method that uses signed distance functions (SDFs) to approximate multi-contact models, including both collision detection and time-stepping routines.
IEEE

A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model

Abstract: This letter studies the identification of a typical nonlinear time-series model, i.e., the exponential autoregressive model with unknown time-delay and colored noise. To deal with the ...
GitHub

WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

WALL-E mining a diamond in Mars. Step 1-2: the agent makes decision via MPC with the initial unaligned world model, resulting in a failed action for mining iron. Step 3: leveraging previous ...