Advanced Robotics
40 MIN READ
Module 01: The "Why" and The Architecture
Why L5 autonomy is harder than a moon landing. Understanding ODD, latency loops, compute constraints, and the modern Hybrid Architecture (Modular vs. End-to-End).
Posts
All the articles I've posted.
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- Advanced Robotics45 MIN READ
Module 02: The Senses of an Autonomous Vehicle
The raw senses of an autonomous vehicle: What data does each sensor provide? Covers cameras, radar, LiDAR, ultrasonics, and microphones—their physics, strengths, weaknesses, and why fusion is necessary.
- Advanced Robotics35 MIN READ
Module 04: Localization — The Art of Not Getting Lost
From GPS to centimeter accuracy: How autonomous vehicles know their exact position. Covers GNSS, IMU, wheel odometry, scan matching, and Factor Graphs.
- Advanced Robotics40 MIN READ
Module 05: Mapping — The Memory of the Road
How autonomous vehicles remember the world. Covers HD maps, lane graphs, offline vs. online mapping, MapTR, and the map-heavy vs. map-light debate.
- Advanced Robotics65 MIN READ
Module 06: Perception — Seeing the World
From pixels to 4D realities: How AVs understand their environment. Deep dive into BEV Transformers, Panoptic Occupancy, Scene Flow, and Foundation Models for open-world perception.
- Advanced Robotics60 MIN READ
Module 07: The Fortune Teller — The Evolution of Prediction
The hardest problem in AV: predicting human irrationality. From physics-based Kalman Filters to Joint Autoregressive Distributions, Generative Motion Diffusion, and World State Propagations.