17 years of nanorobotics

Ari Requicha, PhD, Founder of USC’s Molecular Robotics Lab

nano –manipulation
nano-robots swarms

network of sensors and actuators

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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