Posts

From perception to action: How autonomous vehicles make decisions. Covers cost functions, game-theoretic planning, and the modular vs. end-to-end debate.

The hardest problem in AV: predicting human irrationality. Covers the evolution from physics-based prediction to Generative AI, tracking the journey through Waymo Open Dataset Challenges.

A curated list of book recommendations covering personal development, philosophy, psychology, and life lessons from my personal library.

A deep dive into physics-aware video diffusion models: how researchers inject physical constraints into generative models, the three leading technical approaches, and their practical impact on robotics and scientific simulation.

An intuitive introduction to the Transformer architecture — from the attention mechanism to self-attention and cross-attention, using language translation as a concrete example.

An intuitive introduction to Variational Autoencoders — how compressing data into probabilistic codes enables machines to generate realistic images, sounds, and structures.