1. NANOROBOTICS CONTROL DESIGN: A PRACTICAL APPROACH TUTORIAL A. Cavalcanti, R.A. Freitas Jr., L.C. Kretly CAN Center for Automation in Nanobiotech IMM Institute for Molecular Manufacturing UNICAMP University of Campinas ASME 28th Biennial Mechanisms and Robotics Conference ASME DETC - Salt Lake City, Utah, USA September 28 to October 2, 2004 www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
2. The new era of Nanotechnology is coming www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
3. Fact What is Nanotechnology Nanotechnology Challenge Proposed Approach Virtual Environment Nanorobot Design Environment Sensing Competitive Nanorobotics Collective Nanorobotics Contributions Fact P r e s e n t a t i o n o u t l i n e : www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
4. FACT www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com d. Efforts to bring new nanoproducts: IBM, Motorola, Philips Electronics, Xerox/PARC, Hewlett-Packard, Bell Laboratories, and Intel Corp., etc a. The governments and industries all around the globe: investing for a fast development of nanotechnology b. The U.S. National Science Foundation launched a program in “Scientific Visualization” c. 2003 Investiments in Nanobiotech: Europe 500 Million, USA 700 Million, Japan 800 Million
5. 1. WHAT IS NANOTECHNOLOGY ? a. Interdisciplinary new technology (Engineering, Computer, Physics, Chemistry and Biology) b. To build up-to-down and bottom-up strategies NEMS(nanometer-sized electromechanical structures): c. The key technology: the new device and theory to explore the nano world d. Virtual reality / automated planning to assist nanotechnology - assisting chemical and biological assembly analyses - judgments about manufacturing feasibility www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
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7. 3. PROPOSED APPROACH a. Mobile nanorobot control design - Perform molecular assembly manipulation - Applied to Nanomedicine b. Nanorobot aims - Molecules transport, assembly and delivery - Control organ inlets nutritional levels (ranging from 20 to 80%) target* 50% c. The delivery positions - Represent organ inlets requiring proteins - Located in known positions d. Macro-transponder for positional location www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com e. Nanorobot’s sensors identify: obstacles / molecule / organ inlets / another nanorobot
8. 4. VIRTUAL ENVIRONMENT c. Human body: - simplified 3D workspace a lower computational effort - is valuable approach to study nanorobotics control behaviors for nanomedicine Top camera view in the virtual environment www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com b. The obstacles located in unknown probabilistic positions a. Comprised by: obstacles organ inlets, molecules, nanorobots,
9. e. Kinetics assumptions: nanoworld dominated by - Friction, adhesion, and viscous forces are paramount - Gravitational forces are of little or no importance 4. VIRTUAL ENVIRONMENT Top camera view in the virtual environment www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com d. Molecule trajectories: probabilistic position and motion acceleration
10. 5. NANOROBOT DESIGN b. Nanorobot navigation: - Uses plane surfaces (three fins total) - Propulsion by bi-directional propellers: two simultaneously counter-rotating screw drives - navigational acoustic sensors a. Nanoassembly Manipulation is taken into the nanorobot with robotic arm (telescoping manipulator) nanorobot design www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
11. 6. ENVIRONMENT SENSING a. Decision planning Directed molecule-capture and delivery Organs inlets nanorobot biomolecules To verify To attend www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
12. 6. ENVIRONMENT SENSING b. Behavior activation Sensor-based-control loop www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
13. 7. COMPETITIVE NANOROBOTICS 3D Simulation Nanorobot and nanorobot adversary in action www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
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19. 8. COLLECTIVE NANOROBOTICS 3D Simulation Cooperative team behavior www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
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26. FACT www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com a. A first series of commercially nanobioelectronic products are expected to 2007 c. Company DisplaySearch: rapid market grow from US$ 84 million today to $ 1.6 Billion in 2007 b. Next 5-10 years: first nanorobots to medicine and environmental applications d. Devices and systems based on Nanotechnology: US$ 1 trillion market for 2015
27. Just a few quotes… “ There is nothing permanent except change.” Heraclitus of Ephesus (ca. 525-475 B.C.) “ A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it.” Max Plank (1858-1947) “ A pessimist sees the difficulty in every opportunity; An optimist sees the opportunity in every difficulty.” Winston Churchill, (1874-1965) www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
28. Fig.1: Highest/lowest organ inlets nutritional levels Control Performance – Competitive Nanorobots Fig.2: Histogram Q. & A. www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
29. Fig.3: Multi-robot cooperative reaction Fig.4: Histogram cooperative reaction Control Performance – Collective Nanorobotics Q. & A. www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com
30. Control Performance – Neural Motion Control Fig.5: Neural motion planning Fig.6:Nanorobot motion cost optimization Q. & A. www.n a n o r o b o t d e s i g n.com www.c a n b i o t e c h n e m s.com