Ari Requicha, PhD, Founder of USC’s Molecular Robotics Lab
nano –manipulation
nanorobots
nano-robots swarms
network of sensors and actuators
nanomedicine
bottom up assembly
AFMs (PicoSPM, CP-R, MFP-3D)
Interactive pushing
Time consuming and labor intensive to move atoms this way
Automated. Start and goal motions. Matching for pushing motion with Hungarian algorithm. Greedy algorithm to achieve final position
Software compensated SFM for heat and atmosphere
Nanoparticle center finding. Butterfly pattern measurement.
Need two AFMs one to push and another to scan and measure. Almost real time to do it instead of a whole afternoon with someone with 5 years of experience
Nanowire sensing for NO2 and PSA (prostate cancer)
Nanowire sensing inside a cell
Plasmonic Rotary motor – light driven actuator spin one way or another with different wavelength of light
Magnetically propelled swimmer
Helix (corkscrew worm) that can spin and achieve motion
Flagellated magnetotactic Bacteria
Nanomagnets that allow bacteria motion to be controlled (working inside rats)
NW sensor powered by NW photovoltaic
Peizo electric
Nanoscale communications
Chemical, electromag
Electric field for a plasmonic nanoantenna (Au rods 130X50X50 nm with a 30 nm gap)
Nanorobot swarms
Have polygon on a plane, have square robots. Download one program to all of the robots to swarm and make the shape. (800bytes per robot)
Assembly agent model
Random walk
Grab and release neighbors
When touching can communicate and exchange info
Inherently self repairing
Start by building wireless sensor networks (solve communication and power networks, wireless communication at that scale)
then add actuators
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Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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