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The value of robotics, in general, increases when they are endowed with more power and better vision, mobility, and intelligence. While these machines have been powerful for decades, their utility is increasing due to the prevalence of new sensors and more sophisticated computer algorithms. The combination of intelligence and mobility in machines will have ramifications on the fundamental role of humans in the manufacturing workplace of the future.
Take the analogy of the introduction of the horse in the Americas:
Horses were well established in Europe when they arrived in the Americas with the conquistadors. Horses arrived at the West Indies on Columbus's second voyage in 1493. In a matter of a century, wild mustangs appeared on the prairies of North America, and the indigenous Americans were quick to recognize their value and adapt to the new “technology”.
Horses were the vehicles and robots of the day. With vision, balance, and power, horses revolutionized transport, warfare, and farming. Likewise, birds used for hunting and pigeons used for message carrying represented early versions of drones. Now, animals and humans have been mostly replaced by machines for performing hard physical work like moving earth, crushing stone into gravel, and transporting products from factory to consumer. Humans are roughly limited to about 200 watts of power, and require special fuel and are notoriously hard to manage!
The fact that humans are still heavily involved in farming, factories and machine operation is an indication they still provide value to the businesses they support. While most human power has been replaced by engines and motors, humans have been increasingly tasked with intellectual tasks.
The Industrial Internet of Things and related technologies raises many questions on the future role of the human in manufacturing. While IIoT will undoubtedly alter the industry, what will the implications be on society?
What are the technologies enabling Drones, Robots and Autonomous Vehicles?
Sensors - GPS, compass, angle sensing like yaw, cameras (Still, Video, Infrared), Radar, ultrasonic ranging (SODAR), Laser ranging (LIDAR),
Computation - Sensor interpretation and operation, Optical recognition of objects in real time, data analytics, integration with mapping, algorithms to compute likely object behavior, vehicle trajectory, and command of vehicle servos (Throttle, brake, and steering)
Outputs - Motor Servos and drive systems, more common with the advent of batteries and electric propulsion.
Also, Check out ARC's recent Insight on Drones in the Oil & Gas Industry.
Take the analogy of the introduction of the horse in the Americas:
Horses were well established in Europe when they arrived in the Americas with the conquistadors. Horses arrived at the West Indies on Columbus's second voyage in 1493. In a matter of a century, wild mustangs appeared on the prairies of North America, and the indigenous Americans were quick to recognize their value and adapt to the new “technology”.
Horses were the vehicles and robots of the day. With vision, balance, and power, horses revolutionized transport, warfare, and farming. Likewise, birds used for hunting and pigeons used for message carrying represented early versions of drones. Now, animals and humans have been mostly replaced by machines for performing hard physical work like moving earth, crushing stone into gravel, and transporting products from factory to consumer. Humans are roughly limited to about 200 watts of power, and require special fuel and are notoriously hard to manage!
The fact that humans are still heavily involved in farming, factories and machine operation is an indication they still provide value to the businesses they support. While most human power has been replaced by engines and motors, humans have been increasingly tasked with intellectual tasks.
The Industrial Internet of Things and related technologies raises many questions on the future role of the human in manufacturing. While IIoT will undoubtedly alter the industry, what will the implications be on society?
What are the technologies enabling Drones, Robots and Autonomous Vehicles?
Sensors - GPS, compass, angle sensing like yaw, cameras (Still, Video, Infrared), Radar, ultrasonic ranging (SODAR), Laser ranging (LIDAR),
Computation - Sensor interpretation and operation, Optical recognition of objects in real time, data analytics, integration with mapping, algorithms to compute likely object behavior, vehicle trajectory, and command of vehicle servos (Throttle, brake, and steering)
Outputs - Motor Servos and drive systems, more common with the advent of batteries and electric propulsion.
Also, Check out ARC's recent Insight on Drones in the Oil & Gas Industry.