Dr. Bentivegna is also a Carnegie Mellon University Adjunct Faculty member. He received a Ph.D. in computer science from Georgia Institute of Technology; an M.S. degree in Space Systems from Florida Institute of Technology. His research explores machine learning algorithms that can learn quickly and make the most use of information obtained from observing others. Dr. Bentivegna aggressively pursued his interests in robotics after serving in the U.S. Navy as a Submarine Navigation Electronic Technician onboard two nuclear ballistic missile submarines and numerous support commands. As the Director of Research and Development of Controls and Capabilities at Seegrid Corporation he contributes his knowledge, expertise, and passion for humanoid and industrial robotics such as intelligent control, computer vision, and machine learning.
Pittsburgh-based Seegrid Corp. (www.seegrid.com)
In a new white paper, just issued by Seegrid Corp., the company has taken an in-depth examination determining the truth about robotics. Real world applications, pros and cons are carefully explored in this in-depth analysis.
The new white paper examines the impacts of robotics on employment, safety,
quality, productivity, and efficiency. Typical applications of robots include: transportation, welding, painting, assembly, picking and placing products, packaging and palletizing, product inspection, and testing. All of these robotic tasks are accomplished with high endurance, speed, and precision. To read the entire comprehensive white paper, go to: http://www.seegrid.com/