IEEE Central Texas MEMS & Sensor Chapter Brent Lunceford Brent.lunceford@ieee

1. IEEE Central Texas MEMS & Sensor Chapter Brent Lunceford Brent.lunceford.us@ieee.org IEEE Central Texas SectionJanuary 21, 2017 San Marcos, TX

2. What is a MEMS and Why MEMS & Sensors MEMS microphone • MEMS stands for Micro Electro Mechanical Systems: • Made using the unique CMOS-related processing. • The critical physical dimensions of MEMS devices can vary from <1μm to millimeters • MEMS devices can vary from: • Relatively simple structures with no moving elements • Extremely complex electromechanical systems with multiple moving elements • At least some elements have some sort of mechanical functionality whether or not these elements can move. • Functional elements of MEMS are miniaturized structures, sensors, actuators, and microelectronics that make up microsensors and microactuators. • Microsensors and microactuators are categorized as “transducers”, which convert energy from one form to another. • Microsensors devices convert a measured mechanical signal into an electrical signal. • Encompass multi-physics modeling or characterization and depend on design and material science for performance characteristics Not all MEMS are sensors and not all sensors are MEMS. When MEMS-sensor fusion occurs magical things happen MEMS accelerometer

3. Example of MEMS Sensors MEMS Gyroscope Ratcheting Gears Simple “Diving Board” Cantilever Morgan Research Corp. Sandia Labs Litton G&C

4. 2016 Founding Officers & Chapter Leadership Team • Brent Lunceford (Chair) • Brian Mattis (Vice Chair) • Colin Tompkins (Secretary) • Lia Ameida (Co-Treasurer) • Don Smith (Co-Treasurer) This is only the 2nd chapter of it’s kind under IEEE Brent Lunceford President, Memstronics Brian Mattis, PhD Director of Integration Engineering Novati Technologies Colin Tompkins Director of Applications Engineering, Silicon Labs Lia Almeida Product Engineer NXP/Qualcomm Don Smith, PhD President, Spectral Incentives

5. Total MEMS Market by Device

6. MEMS Market Forecast 2014-2020 Samsungs Galaxy S4 has 9-11 MEMS & Sensors

7. Open Interconnect Consortium Growth from: -Internet of Things -Smartphone -Tablets -Wearables Does not include autonomous vehicles

8. IEEE Central Texas MEMS & Sensors Chapter Vision • MEMS & Sensors Chapter is a community that consolidates one the fastest growing industries that was highly fragmented across numerous entities leading to rapid growth markets including smart devices, wireless, IoT, medical technology, robotics, gaming and autonomous vehicles. Mission Statement • The IEEE MEMS & Sensors Chapter seeks to be the organization of choice for sensor and sensor system technologists in the Central Texas Area and to provide education and networking for those professionals. 2016 Chapter Objectives: • Theme: “Start Up, Growth, Industry Support, Sustainability” • Hold monthly high quality technical meeting • Distinguished Lecturer/Speaker • MEMS & Sensors Chapter Website & Listserv

9. IEEE Central Texas MEMS & Sensors 2016 Start up Meetings-2017 Plans

10. SWOT Analysis Strengths Weakness Opportunities Threats

11. Joint MEMS & Sensor Chapter-Electron Devices Society Meeting: January 30, 2017 • Abstract: The ability by a robot to operate in an uncertain environment, such as near humans or far away under human control, potentially opens a myriad uses. Examples include robots preparing the Mars surface for human arrival; robots for assembly of large space telescopes; robot helpers for the elderly; robot search and disposal of war mines. So far advances in this area have been coming slowly, with a focus on small categories of tasks rather than on a universal ability typical in nature. Challenges appear both on the robotics side and on human side: robots have hard time adjusting to an unstructured environment, whereas human cognition has serious limits in adjusting to robots and grasping complex 2D and 3D motion. As a result, applications where robots operate near humans – or far away under their control – are exceedingly rare. The way out of this impasse is to supply the robot with a whole-body sensing - an ability to sense surrounding objects at the robot’s whole body and utilize these data in real time. This calls for large-area flexible sensing arrays - sensitive skin covering the whole robot body akin to the skin covering the human body. Whole-body sensing brings interesting, even unexpected, properties: powerful robots become inherently safe; human operators can move them fast, with “natural” speeds; robot motion strategies exceed human spatial reasoning skills; it becomes realistic to utilize natural synergy of human-robot teams and allow a mix of supervised and unsupervised robot operation. We will review the mathematical, algorithmic, hardware (materials, electronics, computing), as well as control and cognitive science issues involved in realizing such systems. Dr. Vladimir Lumelsky

12. Conclusion • Please spread the word. You can be a MEMS & Sensors applications expert by attending and networking at these events

13. Austin, TX THANK YOU FOR THE CONTINUED SUPPORT FROM IEEE CENTRAL TEXAS SECTION