About Me

I’m passionate about building simulation environments to help robots operate intelligently in dynamic, unpredictable settings. My work focuses on path planning and decision-making for mobile robots navigating around people, such as robotic servers in busy restaurants.

I’m applying to PhD programs to deepen my research in autonomous systems that can perceive, learn, and adapt safely—especially where human intervention isn’t possible, like underwater or disaster zones.

My research centers on three questions:

• How can robots plan safely under uncertainty?
• How can they continually learn and improve perception?
• How can they collaborate effectively with humans?

I bring a proven track record of designing robust simulations, developing adaptive algorithms, and leading large teams through complex projects. If you’re looking for a motivated, hands-on researcher ready to push the boundaries of autonomous robotics, I’m eager to contribute and grow in your program.

Beyond the technical side, I’ve taught over 1,000 students, led engineering teams, and built tools and platforms focused on usability and real-world impact.

Ultimately, I’m fascinated by systems that bridge perception, planning, and learning so that robots can move with purpose even in the most unpredictable conditions.

Contact

📍 San Jose, CA
📧 kaung006@alumni.umn.edu
🌐 akarhtutkaung.github.io

Thanks for reading. If you’re working in robotics, planning, or intelligent agents and want to chat—feel free to reach out.