Module 01: The "Why" and The Architecture
Advanced Robotics 25 min
Why L5 autonomy is harder than a moon landing. Understanding ODD, latency loops, compute constraints, and the probability of failure in autonomous systems.
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Autonomous & Real-World AI
Your Unique Edge
How self-driving cars actually work—prediction, calibration, sensing, and closed-loop reasoning.
Learning Path
- → Start with **Behavior Prediction** for closed-loop autonomous driving
- → Explore **Camera Calibration** (AutoCalib) for perception systems
- → Learn about **Physics-Aware Models** for simulation and robotics
All Posts in This Track
9 articles covering robotics
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Module 02: How Cars Learn to See (Sensors)
Advanced Robotics 35 minFrom photons to decisions: How machines reconstruct 3D reality from 2D data. Covers cameras, IPM, radar, LiDAR, and sensor fusion in an intuitive, first-principles approach.
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Module 03: The Bedrock (Calibration & Transforms)
Advanced Robotics 30 minIf you don't know where your eyes are relative to your feet, you trip. Covers intrinsics, extrinsics, SE(3) transforms, online vs. offline calibration, and time synchronization.
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Module 04: Localization — The Art of Not Getting Lost
Advanced Robotics 25 minFrom GPS to centimeter accuracy: How autonomous vehicles know their exact position. Covers GNSS, IMU, wheel odometry, scan matching, and the Kalman Filter fusion that creates the "Blue Line."
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Module 07: The Fortune Teller — The Evolution of Prediction
Advanced Robotics 35 minThe 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.
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Module 08: The Chess Master — The Art of Planning
Advanced Robotics 30 minFrom perception to action: How autonomous vehicles make decisions. Covers cost functions, game-theoretic planning, and the modular vs. end-to-end debate.
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Diffusion for Action: Trajectories and Policy
Advanced Robotics 20 minHow diffusion models predict action sequences instead of pixels. Covers Diffusion Policy, world models for robotics, and connecting diffusion to reinforcement learning for autonomous systems.
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The Role of Predictions in Closed-Loop Autonomous Driving
Advanced Robotics 20 minReflections on building production-grade behavior prediction systems for autonomous vehicles — and why closed-loop reasoning is the bridge between perception and planning.
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AutoCalib – Automatic Traffic Camera Calibration at Scale
Advanced Robotics 15 minHow we used deep learning to automatically calibrate traffic cameras by observing vehicle motion—work that won Best Paper Award at ACM BuildSys 2017.