Rosen Diankov

Ph.D Candidate
The Robotics Institute
Carnegie Mellon University


My ultimate goal is to solve the robotics problem: combine vision, perception, planning, and control into one coherent framework to create intelligent and autonomous robots. Since I joined The Robotics Institute, I've been working on such an architecture titled OpenRAVE. My current research focuses on statistical planning using machine learning to get robots to autonomously perform complex tasks like making coffee or cleaning the dinner table without requiring programmers to tweak endless parameters or write scripts. I'm very interested in getting humanoid/mobile-manipulator robots in the kitchen to help out with chores. I also work on robot vision and am looking for effective ways to plan around environments using cameras attached to the robot.

Robots

I was a JSPS research fellow for a couple of months during 2007 at the AIST Digital Human Research Center in Japan working on the humanoid robot HRP2. Under the supervision of Dr. Satoshi Kagami and Dr. Koichi Nishiwaki, I jointly developed a system to get humanoid robots to grasp objects in dynamic environments without specifying apriori how the objects should be grasped.


Currently I'm working at Intel Research Pittsburgh on a robot to autonomously load and unload a dishwasher and perform other kitchen related tasks. The mobile manipulator consists of a Barrett WAM, a Barrett Hand, and a Segway RMP.


You can find a complete list of past research here