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Darrin C Bentivegna
Systems Scientist
Email address: darrin@atr.jp (Currently On Leave)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
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I received my Ph.D. in Computer Science at Georgia Institute of Technology in 2004. I received my Masters of Science in Space Systems from Florida Institute of Technology in 1995. I was a Submarine Navigation Electronics Technician in the US Navy and served on the Fleet Ballistic Missile (FBM) Submarines USS Lewis and Clark (SSBN 644) and USS George C. Marshall (SSBN 654). I also served on the FBM Submarine Tender USS Simon Lake (AS 33) when it was stationed in Kings Bay, GA. I served on the Launch Area Support Ship (LASS) USNS Range Sentinel stationed in Cape Canaveral Florida where I was involved in the support of U.S. and U.K. submarine missile launches on the Eastern Test Range. While stationed in Cape Canaveral I also served on the USNS Vanguard. The Vanguard supported the testing of navigation equipment that was in use, or was to be used, on board Navy submarines.
I am interested in exploring and developing learning methods that give robots human-like learning abilities. My research focuses on algorithms that allow robots to learn skills from observing humans or other robots and give robots the ability to improve performance while practicing. I am currently investigating the learning of movement skills and the learning of action selection skills while performing dynamic tasks. Examples of tasks that I am exploring include playing games such as tennis and ping pong, performing aerobic movements, and walking. My thesis presents a framework for conducting learning from observation and practice research. The framework is implemented in two tasks; the Labyrinth marble maze game and air hockey. A video of a robot playing the Labyrinth game and a humanoid robot playing air hockey can be seen on my thesis page and more information can be found on my Learning from Observation webpage.
artificial intelligence, control, entertainment robotics, human-computer interaction, humanoid robotics, legged locomotion, machine learning, manipulation, mobile robots, motion planning, and space robotics