Bluefin Robotics: Overview, Technologies, Challenges
In the early days of the Autonomous Underwater Vehicle (AUV) industry, there was much uncertainty as to the viability of the technology and the prospects for a market sufficient to sustain the industry. Basic technologies (e.g., platforms, energy storage, propulsion, control) had to be developed and proven to early adopters. During the past decade, however, as AUV technologies have matured, so too has the market for those technologies and the sophistication of customers and end-users. No longer is the question "Will AUVs be useful at all?" but rather "What is the next level of AUV capability?" Founded in 1997, Bluefin Robotics has been at the forefront of the AUV industry as it has developed and matured. In this talk, I will touch on a variety of AUV technologies, and present both historical and current challenges for the industry. Along the way, you will get to see many of Bluefin's current and future platforms as well as the supporting technologies that make the systems a reality. The presentation will included both images and video of the vehicles in operation.
Dr. Goldberg holds the position of Senior Scientist Software at Bluefin Robotics where he is a senior technical contributor on development projects, and also participates in business development and strategy. Prior to that he was the Software Engineering Manager at Bluefin Robotics for four years, during which time he lead the software group in developing next generation systems for autonomous underwater vehicles, including graphical mission planning/monitoring tools and onboard vehicle control software. Before joining Bluefin, Dr. Goldberg was at the Carnegie Mellon University Robotics Institute, where he helped manage a NASA funded project aimed at developing a distributed, multi-layer architecture for control and coordination of multiple heterogeneous robots for planetary exploration. Dr. Goldberg has also worked at the Robotics Research Labs, University of Southern California Computer Science Department, and the Interaction Lab, Brandeis University Computer Science Department, where he conducted research on robot systems focusing on machine learning, modeling, and vehicle control. Dr. Goldberg received his doctorate and master's degrees at the University of Southern California Computer Science Department, and his bachelor's degree at Brandeis University. He has 17 year of experience in robotics and over 20 technical publications.