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As autonomous technologies rapidly evolve, institutions like Texas A&M University are pioneering research into how the technologies can be virtually verified and validated before they are deployed on real-world maritime vessels.
This special episode of Setting Course, an ABS Podcast, was recorded at the ABS Laboratory for Ocean Innovation at Texas A&M in College Station, Texas, where the university and ABS are researching the implementation of autonomous navigation — just one of many research collaborations between the two organizations.
In this episode, Texas A&M Professor of Mechanical Engineering Siva Rathinam and ABS Senior Technology Engineer Denny Raymond joined host Brad Cox to discuss the challenges, benefits and safety concerns of autonomous systems, as well as how the ongoing research can help push the industry forward.
Share this episode and leave us a review or a rating on your podcast platform of choice. You can contact the show at [email protected]. More episodes are available at www.eagle.org/podcast and all major podcast platforms.
Key Takeaways
Guests
Dr. Siva Rathinam is a Professor and Industrial Advisory Committee Faculty Fellow in the Texas A&M Department of Mechanical Engineering. His research interests are in autonomous ground and aerial vehicles, sensor fusion, vision-based control, algorithms, intelligent transportation systems (ITS), robotics and artificial intelligence (AI).
Denny Raymond is a Senior Technology Engineer at ABS. With nearly two decades of experience, Denny has a multi-disciplinary background in marine product integration, power generation, dynamic positioning, and maritime autonomy. Having worked for the Saint Lucia Electricity Services, Cummins, and Basler Electric, Denny has specialized knowledge of marine engine applications, power systems and controls. Denny received his Master of Science in Engineering (Industrial/Systems Concentration) from Purdue University and his Bachelor of Science, in Mechanical Engineering from the University of the West Indies, Trinidad.
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1414 ratings
As autonomous technologies rapidly evolve, institutions like Texas A&M University are pioneering research into how the technologies can be virtually verified and validated before they are deployed on real-world maritime vessels.
This special episode of Setting Course, an ABS Podcast, was recorded at the ABS Laboratory for Ocean Innovation at Texas A&M in College Station, Texas, where the university and ABS are researching the implementation of autonomous navigation — just one of many research collaborations between the two organizations.
In this episode, Texas A&M Professor of Mechanical Engineering Siva Rathinam and ABS Senior Technology Engineer Denny Raymond joined host Brad Cox to discuss the challenges, benefits and safety concerns of autonomous systems, as well as how the ongoing research can help push the industry forward.
Share this episode and leave us a review or a rating on your podcast platform of choice. You can contact the show at [email protected]. More episodes are available at www.eagle.org/podcast and all major podcast platforms.
Key Takeaways
Guests
Dr. Siva Rathinam is a Professor and Industrial Advisory Committee Faculty Fellow in the Texas A&M Department of Mechanical Engineering. His research interests are in autonomous ground and aerial vehicles, sensor fusion, vision-based control, algorithms, intelligent transportation systems (ITS), robotics and artificial intelligence (AI).
Denny Raymond is a Senior Technology Engineer at ABS. With nearly two decades of experience, Denny has a multi-disciplinary background in marine product integration, power generation, dynamic positioning, and maritime autonomy. Having worked for the Saint Lucia Electricity Services, Cummins, and Basler Electric, Denny has specialized knowledge of marine engine applications, power systems and controls. Denny received his Master of Science in Engineering (Industrial/Systems Concentration) from Purdue University and his Bachelor of Science, in Mechanical Engineering from the University of the West Indies, Trinidad.
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