Overview of the ‘Robotics’ System
Because robotics are built with standardized programs, robotics can leverage the scale curve. The marginal production cost reduces as the volume increases. Yet, with integration with A.I., robotics are now being programmed to perform more and more complex tasks. Enhanced programmability will generate more and more value creation at a constant production cost. 1
Compatible with A.I. 2, robotics can fulfill highly customized needs. This means A.I. powered robotics can learn from data and become smarter over time. With better user experience, A.I.-powered robots have the opportunity to spend more time interacting with human users, which creates opportunities to extract user data for improving the performance in fulfilling personalized needs.
Data integration across different users or across different use cases will accelerate the learning curve of robotics to a higher rate. Robot-to-robot connections allow inter-robotic collaborations in creating enhanced solutions. 3 As a result of increasing adoption, user-robot interactions will continuously generate user feedback, which, in turn, continuously reveal unsolved problems and create new business opportunities.
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Kober, Jens, J. Andrew Bagnell, and Jan Peters. “Reinforcement learning in robotics: A survey.” The International Journal of Robotics Research 32.11 (2013): 1238-1274.↩
Mondada, Francesco, et al.“The cooperation of swarm-bots: Physical interactions in collective robotics.” IEEE Robotics & Automation Magazine 12.2 (2005): 21-28.↩