Launch of Successor, a New Robot System that Reproduces the Movements of Expert Engineers Through Remote Collaboration

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Launch of Successor, a New Robot System that Reproduces the Movements of Expert Engineers Through Remote Collaboration - A new solution for fields where robotization has been difficult to achieve -

1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050 2055 2060 2065 1.4 Issue of working population decrease in Japan Unit: million people Estimated population of Japan as of 2017 *Source: National Institute of Population and Social Security Research Future estimated population of Japan (2017 estimate) GDP curve 1.2 Necessary working population estimated from the GDP curve (Target of robotization) 1.0 0.8 0.6 Population aged 15-64 Population aged 65 or older The issues of skill transfer and labor shortage can be solved by robotization Steady decrease of working population 0.4 2015 77.28 mil. 2040 59.78 mil. 0.2 0.0 Population aged 14 and younger 2065 45.29 mil. Decrease of 640,000 people per year on average 2

Aging society as a global issue and Kawasaki s proposal Aging society Response to the decrease in workforce Loss of technical skills as experts retire Proposal for robots that can coexist and collaborate with human and expand application fields New robot system Proposal for new robot system that can learn technical skills and pass them on to future generations Increased medical expenses and support costs of elderly people Proposal for robots that can reduce financial and physical burden of human in the field of medical care 3

Number of industrial robots used per 10,000 employees in the manufacturing industry (2016) 303 robots 631 robots USA 488 robots 309 robots 189 robots Still no robotization in 94-99% of the domain. Still many fields in which robotization is difficult. New solutions are necessary in these fields. 68 robots 45 robots 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Robots installed Robots not installed *Source: IFR Statistical Department, World Robotics 2017 2016 2017 Kawasaki Heavy Industries, Ltd. All Rights Reserved 4

Fields in which robotization is difficult: Technical skills Fields requiring technical skills Processes in which humans use their senses to carry out work (assembling, polishing etc.) Large dispersion of parts accuracy (casting, pressed items etc.) Cost Time Fields requiring disproportionate amounts of cost/time Applications that are not achievable without the use of many sensors Applications that require modifications of the production line or the whole factory Processes and work for which programming and other preparatory work take too much time ex) Small-volume production fields Made-to-order products and items with custom-made parts Parts for products that are frequently changed, such as ones that are manufactured at small- and medium-sized enterprises 5

New robot system A robot system proposing a new concept for robots, including skill transfer through remote collaboration: Successor 6

Challenges to the fields that are difficult to robotize How can robots transfer skills? Human-centered jobs 1. Work that requires sensation 2. Non-routine work 3. Work that requires judgment Expert New worker Experts operate robots Skill transfer Skill transfer Robots work as a training tool for new workers Robot-centered jobs 1. Handling-centered work 2. Routine work 3. Work requiring accuracy Robots learn human work using AI technology Fully automated system 7

Control unit that realizes skill transfer to/by robots Communicator for assembling Replicate feelings with IoT technology Force Replicate impact Weightless feeling Easing burden Communicator for painting Natural maneuvering feeling by human dynamics Touch Replicate vibration Sound Replicate sense Vision Same feeling as operating a paint gun Smooth motion with the paint gun Changeable operation scale Operation scale can be changed The Communicator helps intuitive operations and therefore the workers can feel as if s/he is in the real work environment. 8

Features of Successor: Remote collaboration system Remote collaboration system Equipped with a system in which physical senses (e.g. sight, force, touch, sound) during the operation are fed back, giving the remote operator the sense of being at the place where the work is performed. Workers can operate outside the working range of the robot, ensuring intrinsic safety Enables collaborative work with large robots 9

Function of Successor: 1. Conversion function (learns human operations and converts them into automated operations) Remote operation & skill transfer Automatic operation by a robot OJL:On the Job Learning (learning human skills on the job) Step 1: Operation Step 2: Trial/Correction Step 3: Automation Teaching Training through repetition Mastery Skill transfer to robots can be realized online 10

Function of Successor: 2. Hybrid function of automatic/remote operations & 3. Multi-control function (one Communicator operates multiple robots) Both remote operation with the Communicator and automatic operation by robots can be switched easily One Communicator can operate multiple robots 11

Function of Successor: 4. AI function (Robots learn to optimize movement with dispersion with AI technology and to convert it to automated operations. ) OJL:On the Job Learning (learning human skills on the job) AI technology Step 1: Operation Step 2: Trial/Correction Step 3: Automation Teaching Training through repetition Mastery Skill transfer to robots can be realized online 12

Function of Successor: 4. AI function (Robots learn to optimize movement with dispersion with AI technology and to convert it to automated operations. ) Validation of the AI function by case testing Step1: Analyze data from 22 cases Failed cases Automatic operations Success rate 90% (27 out of 30) When it tries to insert it here, this side touches first Unexpected events for robots which knows Step1 data only Step2: Analyze additional data from failed cases Success cases Automatic operations Success rate 100% Work by automatic operation was successful after learning with AI function 13

Function of Successor: 5. Training function (newcomers learn operations taught to robots by experts) OJL: On-the-Job Learning (Learn the skills of experts through robots) Learning Training Mastering Step 1: Operation Step 2: Trial/Correction Step 3: Automation Teaching Training through repetition Mastering Skill transfer to robots can be realized online 14

Summary of Successor s functions in the fields that are difficult to robotize Human-centered jobs 1. Work that requires sensation 2. Non-routine work 3. Work that requires judgment Expert Mastery New worker 1Conversion function 2Hybrid function of automated & remote operations Experts operate robots Skill transfer Robot = Successor Skill transfer Robots work as a training tool for new workers Robot-centered jobs 1. Handling-centered work 2. Routine work 3. Work that requires accuracy 3Multi-control function Robots learn human work using AI technology Fully automated system 4AI function 5Training function 15

Successor is: A robot system that can be used with any robot Robot that fits to applications+ The remote controlling unit, Communicator Painting Rigging Processing Handling Assembling 16

What Successor can realize: Simplify the Implementation of robots Anyone can program robots without professional knowledge on robots Implementation cost and time for robots can be reduced Application fields are widened Increase productivity Workers can be released from harsh working conditions Physical burden of labor is relieved from the elder Secure workforce and nurture next generation Experts skill can be transferred by robots 17

Targeted fields for Successor Made-to-order manufacturing E.g. Kawasaki Heavy Industries, etc. (welding, painting, finish processing, heavy load handling) Fields of assembly and outfitting in mass-production industries E.g. Automobile outfitting processes, etc. Foundry industry Logistics industry, logistics processes Outdoor work fields (construction / civil engineering / transportation / plants) Small- to medium-sized enterprises 18

Future vision of Successor s development Operate and monitor plants around the world from a single location Network/IoT Plants in USA Robot + AI Plants in Europe Plants in Japan Plants in China 19

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