How AI Will Increase the Performance and Capabilities of Amrs

How AI will 1 increase the performance and capabilities of AMRs

Josh Cloer – Sales Director Mobile Industrial Robots

Produced by: What is Artificial Intelligence? When did AI ‘start’? Where will AI be useful for AMR? Why is AI important for AMR? How will AI change robotics? What is Artificial Intelligence?

AI was originally conceptualized as Today AI is branch of Computer empowering computing machinery to Science which aims to create systems imitate human behavior and that can function intelligently and intelligence independently Sources: http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/ https://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-of-artificial-intelligence-ai/#2f03c36 https://www.livescience.com/49007-history-of-artificial-intelligence.html#targetText=The%20beginnings%2 https://digitalwellbeing.org/artificial-intelligence-timeline-infographic-from-eliza-to-tay-and-beyond/ When did AI Start?

• Similar to other branches of Computer Science and Engineering, the initial concepts date back to the early Greek, Chinese and Egyptians

• However the more specific supporting concepts and popular references began around 1300AD Ramon Lull ‘The Engine’ of Gulliver’s 1308 Travels - 1726

Gottfried Leibniz Tin Man in 1666 The Wizard of Oz 1939

Thomas Bayes 1763 Karel Čapek introduces the word "robot“ 1920

George Boole Leonardo Torres y Quevedo - first chess 1854 playing machine - 1914

Nikola Tesla First Humanoid Robot 1898 depicted in Metropolis - 1927 AI’s Inception Fathers of Artificial Intelligence – 1950s

Herbert A Simon & Alan Turing John McCarthy Marvin Minsky Allen Newell

Turing Machine Coined the term ‘Artificial Started the Dartmouth Information Processing Intelligence’ in 1955 Summer Research Project Language - 1956 Automatic Computing on Artificial Intelligence – Machine Started the Dartmouth widely recognized as the Summer Research Project founding event for AI 1950 – Computing on Artificial Intelligence – Logical Theory Machine – Machinery and Intelligence widely recognized as the With McCarthy, started the 1956 – the first AI program founding event for AI MIT CS and AI Lab Proposed an ‘imitation game’ which an LISP – programming Invented the first head- ‘intelligent’ machine must language of choice for AI mounted graphical display General Problem Solver – pass and first neural network 1959 – Universal Problem learning machine SNARC Solver Turing Test Fathers of Artificial Intelligence

Herbert A Simon & Alan Turing John McCarthy Marvin Minsky Allen Newell

• The initial revelations of AI encountered mountains of obstacles: • Lack of hardware with the necessary computational power • Very optimistic projections were not met • Disagreement among early AI academics - specifically around the theory behind neural networks • Academic research resurged after IBM’s Deep Blue defeated grandmaster Garry Kasparov Where is AI being used today? Non-Industrial AI

• Language Processors on phones and other media devices • Siri and Alexa

• Content Recommendation • Facebook and Netflix

• Markey Analysis and Algorithm Trading • Finance Sector

• Analysis and Diagnosis Support Systems • Medical Sector

• Image Recognition for Self Driving Cars • Tesla Industrial Space

• Machine Learning and Deep Learning in Machine Vision for metrology, part inspection, and part identification

• Predictive Maintenance Why is AI not more present in industry?

Challenges: Solutions: • AI is hard • Open source libraries for AI • Research not prioritized • Success in consumer • Hardware not ready electronic, medical, and finance drives perception • New powerful and affordable AI specific hardware AI Specific HW

CPU vs GPU:

• CPUs run only a few cores which compute complex processes sequentially

• GPUs run many simple cores which allows for parallel computing across thousands of cores Where will AI be useful for AMR?

WHERE ITERATIONS OF INPUTS AND AI IS MOST USEFUL WHERE THE UNDERLYING OUTCOMES CAN BE COMBINED TO SOLVE A THEORY BEHIND HOW A PROCESS FUNCTIONS COMPLEX TASK IS COMPLEX OR AMBIGUOUS AI for AMRs in the near term

• Advanced obstacle avoidance with Machine Vision and Object Recognition

• Improved Global Path Planning with remote sensing plus Object Recognition

• Predictive Maintenance

• Machine Learning for path planning MiR AI Camera

MiR AI Camera provides Effectively creates a extra sensory input to MiR communications channel Fleet, potentially expanding between MiR Robots and its vision to entire buildings other kinds of vehicles

Avoids obstructed narrow paths, crowded areas or Minimizes downtime and hazardous situations, optimizes performance without even driving there With the acceleration of specialized AI hardware and the promise of cloud computing and 5G network, AI and Why is AI robotics will continue to advance important Given the rate at which new products for AMR? are being developed and the synergies between autonomous vehicles and autonomous robots, new development tools will accelerate this growth AI for AMRs in the long term

Combine the following: • All of the branches of AI • 5G network architecture - affording ultra-reliable, low latency communication • Virtually limitless computing power with onboard specialized HW and Cloud Computing AI for AMRs in the long term

Robots will be able to: • Perceive their environment through the lens of every connected sensor – in real time • Learn how to be most useful naturally through experience (and eventually conversation) • Maintain their own hardware by predicting failures • Consult on increasing your overall facility efficiency Increase in performance and capabilities for AMR leads to:

Lights Out Safer Environment • 24/7 Operation with limited • Robots will supplant the dull, dirty, and downtime and interventions dangerous tasks leading to less incidents • More robots and less humans

Reduced Cost Maximum Efficiency • Given robust systems and • With minimal downtime through material supply these robotics predictive maintenance and fully systems could maintain optimized workflows, operation will independently for many years trend towards perfection How will AI change robotics?

From inception, the goal for Artificial By combining all known technologies and Intelligence has been to create human-like given enough time this seems inevitable machines Robots take learnings to real world

• We are already seeing delivery robots and service industry robots

• Given enough training time and methods for handling outlier situations, this adoption will trend towards ubiquity

And then… The End THANK YOU

Josh Cloer Sales Director MiR [email protected]

Produced by: Sources: http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/ https://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-of-artificial-intelligence-ai/#2f03c36 https://www.livescience.com/49007-history-of-artificial-intelligence.html#targetText=The%20beginnings%2 https://digitalwellbeing.org/artificial-intelligence-timeline-infographic-from-eliza-to-tay-and-beyond/