Robohub.org
ep.

095

podcast
 

From research to industry in the AUV market with David Lane


by
13 January 2012



share this:

Today David Lane from Heriot-Watt University in Edinburgh talks about his journey from research to business and back. He talks about how he got started in offshore work and robotics research and how that led him to develop new smarts for existing hardware. David shares his personal view on how the Thunderbirds, diving and the space race contributed to his focus on underwater technology. He also discusses his research on autonomous underwater vehicles, involving software architecture for decision making as well as complex sensors for understanding the world around you and underwater communication.

Further, David shares his experience of starting the company SeeByte, including the important first customer acquisition. In developing a working commercial solution, bridging the gap between where the university stops and industry starts, was an essential component.

David in the Ocean Systems Laboratory

David in the Ocean Systems Laboratory

David Lane

David Lane graduated in 1980 with a BSc in Electrical and Electronic Engineering from Heriot-Watt University, Edinburgh, and again in 1986 with a PhD in Underwater Robotics. In 1979 he worked offshore in the North Sea as diver/maintainer for British Oceanics Ltd, and from 1980-82 as a Development Engineer at Ferranti Ltd. From 1982 he held a series of research and academic appointments, culminating in a Professorial Chair at Heriot-Watt University in 1998. In 2001 he founded SeeByte Ltd and as CEO until 2010 led the company’s organic evolution from startup to a multi-million dollar organization. He is now at the Ocean Systems Laboratory.

His technical interests are in autonomous systems, sensor processing and underwater robotics. Over a 30 year period he has published widely in the scientific literature, making contributions in underwater vehicle control, servoing, docking and obstacle avoidance. He has developed flexible actuator sensing and control technology for novel robot gripper and biomimetic underwater propulsion applications. In sensor processing, he has led projects applying novel signal processing and data fusion methods using sonar and video systems to marine science and mine countermeasures detection and visualization. He has also led work on robot architecture, autonomous planning and SLAM navigation, culminating in practical automated systems working offshore performing inspection, repair and maintenance.

This interview focuses a lot on the business side of robotics and Davids journey from research to industry and back.

Links:



tags:


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

#RoboCup2026 social media round-up

  08 Jul 2026
Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.

#RoboCup2026 – humanoid league knockout stages

  06 Jul 2026
Find out who won the small, middle and large divisions in Incheon.

#RoboCup2026 – humanoid league day 2

  03 Jul 2026
Find out the latest from day two of the competition.

Reflections from ICRA 2026

  02 Jul 2026
From dancing robots to moral machines: our Assistant Editor reflects on ICRA 2026.

#RoboCup2026 – humanoid league day 1

  02 Jul 2026
In the first of our round-ups from the humanoid league we introduce the competition, and report some preliminary results.

What’s coming up at #RoboCup2026?

  29 Jun 2026
Find out what's in store at this year's international competition.

Robot Talk Episode 162 – The robot doctor will see you now

  26 Jun 2026
In this special live recording at the Great Exhibition Road Festival in London, Claire chatted to George Mylonas (Imperial College London), Antonia Tzemanaki (University of Bristol) and Tom Vercauteren (King’s College London) about robotics and AI in medicine and healthcare.

AI brings object-level vision prosthetics closer to reality

  23 Jun 2026
Researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence