2013 International Symposium on Green Manufacturing and Applications Honolulu, Hawaii

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1 Green Robotics, Automation, and Machine Intelligence; a new Engineering Course in Sustainable Design Joseph T. Wunderlich, PhD College, PA, USA 2013 International Symposium on Green Manufacturing and Applications Honolulu, Hawaii

2 Part of engineering program in Sustainable Design at a US Liberal Arts college in Pennsylvania Program is mix of environmental engineering and environmental design including high-tech-green

3 Diverse student interest Course also required for BS Industrial Engineering Management, BS Computer Engineering, and Cognitive Science Minor

4 Course Outline i. International green trends ii. Green standards iii. Green manufacturing iv. Introduction to mobile robots v. Introduction to robotic arms vi. Introduction to symbolic AI vii. Introduction to connectionist machines viii. Concurrent Simulation and real-time code ix. Biomimicry x. Applications xi. Merging forms of machine intelligence xii. Ethical Issues

5 International green trends United States Japan European Union

6 Green standards ISO LEED Governmental

7 Green manufacturing

8 Introduction to mobile robots Path-planning, obstacle avoidance, real-time sensor fusion, vision, laser range finders, ultrasonic sensors, GPS navigation, digital compass, motor types, wheel configurations

9 Introduction to robotic arms Kinematic controls schemes (position, velocity, acceleration) Course Outline

10 Introduction to robotic arms constrained workspaces, industrial arms

11 Introduction to robotic arms constrained workspaces, industrial arms ROBOT UNIBODY INTERIOR

12 Introduction to robotic arms constrained workspaces, industrial arms

13 Introduction to robotic arms constrained workspaces, industrial arms

14 Introduction to robotic arms constrained workspaces, industrial arms

15 Introduction to robotic arms constrained workspaces, industrial arms

16 Introduction to robotic arms rehab robotics

17 Introduction to robotic arms robotic surgery

18 Introduction to symbolic AI Predicate calculus, heuristics, knowledge representations, programming, Expert Systems

19 Introduction to connectionist machines Bottom-up biological brain models vs. Top-down psychological models, Mathematical theory Course Outline Sigmoid 9th degree polynomial 10th degree polynomial 11th degree polynomial 12th degree polynomial 13th degree polynomial NEURON INPUT

20 Concurrent Simulation and real-time code

21 Biomimicry

22 Applications Environmental mapping - wetlands, terrain, buildings, planets

23 Applications Environmental probes

24 Applications Hazardous waste clean-up Course Outline

25 Applications Space exploration

26 Applications Search & rescue

27 Applications Smart-house design Course Outline

28 Applications Active solar with T. Estrada Course Outline

29 Applications Solar harvesting Course Outline

30 Applications Wind turbines Course Outline

31 Applications Automated agriculture Course Outline

32 Applications Automated agriculture

33 Applications Automated agriculture Course Outline

34 Applications Intelligent rapid transit systems

35 Applications Intelligent cars (including solar) with T. Estrada

36 Applications Intelligent energy generation and distribution Course Outline

37 Applications Intelligent energy storage with alumnus Dr. Dax Kepshire

38 Applications Energy load-shedding with alumnus Dr. Dax Kepshire

39 Merging forms of machine intelligence IBM Watson vs. IBM Deep Blue

40 Ethical Issues Replacing humans vs. aiding humans Artificial humanoids Workers, entertainers, companions Designing autonomy (Safety of life and property) Autonomous military drones

41 College Robotics & Machine Intelligence Lab Course Outline

HAROLD CAMPING i ii iii iv v vi vii viii ix x xi xii 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52

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