Saeid Amiri

I am PhD student at AIR Lab, SUNY Binghamton, where I work on knoweldge-based robotics sequential decision making algorithms. More specifically, I am interested in leveraging commonsense knowledge in POMDPs and Reinforcement Learning.

I am also a research educator for the Freshman Research Immersion (FRI) program, where I teach first-year students and mentor their AI research projects. Previously, I did an internship with ABB Robotics on vision-based deep RL. I got my Masters and Bachelors in Mechanical Engineering with a focus on control theory.

Email  /  Google Scholar  /  Github

I'm interested in AI symbolic planning under uncertainty and Reinforcement Learning. Much of my research is about developing sequential decision making frameworks under partial observability. Representative papers are highlighted.

Using action knowledge to guide the model-based RL.

Using supervised learning and automated reasoning to guide a POMDP-based symbolic planner

A robotic dialogue system that simultanuously identifies human intention and auigments its knowledge base.

Leveraging Multi-Sensory data to guide a robot to identify object properties.

Vision-bsaed grasping using deep reinforcement learning

Teaching First-year students AI and robotics and mentor them in their research projects.

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