At RoboBusiness 2017 in two weeks, speakers, attendees, and exhibitors will be discussing how to use robotics and AI to best serve business needs. The combination of improved processing power, cheaper sensors, and the capability to share and analyze data is leading to a new applications. Ted Larson, CEO of OLogic Inc., will be speaking on “Using Sensors, Data, and AI for Predictive Maintenance and Reducing Downtime.”
For more than a decade, Larson has led OLogic in robotics and consumer electronics projects in Silicon Valley and beyond. Prior to that, he founded the Urbanite Network, a Web server content publishing company for media customers, and he has worked at Hewlett-Packard, Iomega, and the Los Alamos National Laboratory. Here, he discusses his career trajectory, challenges facing the automation market, and the future of industry.
What got you interested in robotics and artificial intelligence, and how is it connected to what you’re now doing?
I have a Master’s Degree in computer science, and during my college years, my primary three focus areas of study were AI, neural networks, and computer networking. Needless to say, when I graduated without a Ph.D. in the early 1990s, there wasn’t much use for AI or neural networks work in industry, other than the starting of some of the big investment houses in New York starting to do quantitative analysis using such things.
So my career choices after leaving college were either move to New York and try to become a quant, or become get a job somewhere in Silicon Valley doing computer network software — I chose the latter and ended up at HP doing networking. It wasn’t until almost a decade later was I able to go back to my earlier interests and get involved in robotics.
Which emerging technology or application excites you the most?
Low cost, high-performance embedded computing and sensors for robotics.
What are the biggest barriers to continued growth of the robotics and AI market?
- It’s not about the robot — it is about the overall solution you are delivering. Those who are approaching markets with a deep knowledge of robotics are having to learn the most important pieces of the domain knowledge to succeed. Those who are approaching with deep domain knowledge are having to learn robotics. Either way, this takes time.
- Regulatory hurdles related to safety are being raised every day, as more and more robotic systems are deployed. Regulations to not move at the pace of Silicon Valley.
- Low-cost sensing systems that are good for machine intelligence. Most sensing systems are being reused from other markets, such as computer gaming, old-school industrial automation, and safety systems.
Where do you expect robotics and AI use to grow the most in the next five years, and why?
For robotics, primarily in the area of mobile systems for delivering real business solutions.
Robotics + AI = the additive of more systems to mobile robotics, for being able to utilize more deep learning or AI systems.
What do you think your session offers to robotics and AI developers and end users?
An understanding of where the mobile robotics industry is putting most of their efforts today vs. the future.
What are you most looking forward to about being at RoboBusiness?
Meeting others with similar interests in the future of the robotics industry.
More about RoboBusiness 2017:
- Why Robotics Controls and Components Should Matter to You
- Top 10 Reasons to Attend RoboBusiness 2017
- DHL’s Justin Ha to Describe Supply Chain Autonomy at RoboBusiness
- Why Can’t Smart Manufacturing Be Simple?
- Automation Market Still Booming in North America, Says A3
- Vecna’s Daniel Theobald Discusses Robotics Expectations, RoboBusiness
- Disney Executive Imagineer to Deliver RoboBusiness 2017 Opening Keynote
- Investment Expert Talks About the Industrial Use of Robotics, Global Market
- Pick and Place for Profit: Using Robot Labor to Save Money