I lead a research group, RPAD: Robots Perceiving And Doing, at Carnegie Mellon University
You can check out my lab website:
I am an assistant professor at CMU in the Robotics Institute.
Prior to my appointment at CMU, I worked as a post-doc at UC Berkeley with Pieter Abbeel on deep reinforcement learning for object manipulation.
I completed my Ph.D. in computer science at Stanford working with Sebastian Thrun and Silvio Savarese on perception for self-driving cars. I also have a B.S. and M.S.
in mechanical engineering from MIT.
You can also download my CV.
Joining my Group
If you are interested in coming to CMU to join my group as a Ph.D. student, there is no need to email me. Just apply to CMU's Ph.D. program! You should apply to either the Robotics Institute Ph.D. program or the Machine Learning Ph.D. program and mention my name in your research statement. After you get accepted, you should contact me to discuss the possibility of working in my group.
My research lies at the intersection of robotics, machine learning, and computer vision.
I am interested in developing methods for robotic perception and control that can allow robots to operate in the messy, cluttered environments of our daily lives. My approach is to design new deep learning / machine learning algorithms to understand environmental changes: how dynamic objects in the environment can move and how to affect the environment to achieve a desired task.
I have applied this idea of learning to understand environmental changes to
improve a robot's capabilities in two domains: object manipulation and autonomous driving. I am currently working on
learning to control indoor robots for various object manipulation tasks, dealing with questions about multi-task learning, robust learning, simulation to real-world transfer, and safety. Within autonomous driving, I have shown how, by modeling object
appearance changes, we can improve a robot's capabilities for every
part of the robot perception pipeline: segmentation, tracking,
velocity estimation, and object recognition. By teaching
robots to understand and affect environmental changes, I hope to open the door
to many new robotics applications, such as robots for our homes, assisted living
facilities, schools, hospitals, or disaster relief areas.
To find out more, check out my lab website:
[RPAD Website][Publications][Lab Members]
Elliot Dunlap Smith Hall (EDSH), Room 213