🧭 ASHRITH EDUKULLA — SLAM & ROBOTICS PHD ROADMAP

• EECS 498 — Graphics / Geometric Construction
• Camera models, projections, coordinate frames
• Understand full SLAM / SLASM pipeline
• Maintain structured research notes

🎯 Outcome: Strong geometry + SLAM intuition

• Own a concrete SLAM submodule
• Run experiments & evaluations
• Internal research write-up
• EECS 445 prep — linear models & optimization
• EECS 445 prep — probabilistic modeling

🎯 Outcome: Research credibility + ML literacy

• CS 224R — Deep Reinforcement Learning
• CS 234 — Reinforcement Learning
• RL for navigation / exploration
• Integrate RL with SLAM system
• Publish clean RL + robotics repo

🎯 Outcome: Learning-enabled SLAM researcher

• Write 1-page research statement
• Shortlist SLAM / robotics professors
• Send personalized PhD emails
• Finalize CV + website

🎓 Goal: Be perceived as a **ready SLAM + learning researcher**