Home

People

Education

Research

Publications

News

Open Positions

Contact

Links

Semester: Spring 2010

Credits: 3

Description

Progress in robotics over the past years has dramatically extended our ability to explore the world from perception, cognition and manipulation perspectives at a variety of scales extending from the edges of the solar system down to individual atoms. At the bottom of this scale, technology has been moving toward greater control of the structure of matter, suggesting the feasibility of achieving thorough control of the molecular structure of matter atom by atom. Nanorobotics represents the next stage in miniaturization for maneuvering nanoscale objects. Nanorobotics is the study of robotics at the nanometer scale, and includes robots that are nanoscale in size and large robots capable of manipulating objects that have dimensions in the nanoscale range with nanometer resolution. The aim of this course is to expose students the most essential topics in this emerging interdisciplinary field between nanotechnology and robotics including the basic principles of nanorobotics, building blocks for nanorobotic systems, imaging, sensing, actuation, manipulation, fabrication, assembly and other fundamental manufacturing processes at the nanoscale, nanoelectromechanical systems (NEMS) and other nanosystems, and the applications.

Outline

 

 NanoRobotics: an Emerging Interdisciplinary Field between Nanotechnology and Robotics

 Scaling to the Nanoworld: Supermolecules and Macro Quantum Effects

 Building Blocks at Nanoscale: From 0D to 3D

 Imaging at the Nanoscale: Far-field vs. Near-Field

 Sensing at the Nanoscale: Ultimate Instrumentation

 Actuation at the Nanoscale: Smaller, Faster, and More Accurate

 Nanorobotic Manipulation: Robotic Hands vs. Scanning Probes

 Nanofabrication: Bottom-up vs. Top-down

 Nanoassembly: Robotic Assembly or Self-assembly

 NanoSystems: NanoElectroMechanical Systems (NEMS), NanoFluidic Systems, and more

 Applications and Prospects: Computing Faster, Living Longer, and Manufacturing at Molecular Scale

Education

NanoRobotic Systems Lab

NRS Lab
MSU LogoCuCNT_ag

NanoRobotic Systems Lab

ECE 802-606 NanoRobotics and Manufacturing

ECE-415 Computer Aided Manufacturing

Semester: Fall 2009

Credits: 3   

Prerequisite: ECE 313 or ME 451

Restrictions:

Open only to juniors or seniors in the Manufacturing Engineering major.

Description

CAD/CAM fundamentals, numerical control, NC part programming, sensors, data acquisition systems.

CNT

ECE 802-604 NanoFabrication and NanoSystems

Semester: Fall 2010

Credits: 3

Description

The aim of this course is to expose students the most essential topics in engineering at the nanometer scale. Carefully selected topics emphasize the most practical conventional and unconventional nanofabrication technologies including energetic-beam-based lithography such as electron-beam lithography, electron-beam-induced deposition, focused-ion-beam chemical vapor deposition, scanning probe lithography, nanomanipulation and other in situ technologies, dielectrophoretic assembly and other nanoassembly techniques, nanowelding, and nanoscale wire bonding. A variety of nanosystems will be introduced starting from the building blocks (nanotubes, nanowires, graphene, etc.) to the system integration and characterization. These systems include nanoelectronic systems, nanoelectromechanical systems (NEMS), nanofluidic systems, bio-inspired nanosystems, and other nanosystems.

Outline

 

 Introduction

 Design of Nanosystems

 Building Blocks for Nanosystems

 Electron-beam-based Nanofabrication

 Focused-ion-beam-based Nanofabrication

 Other Nanofabrication Technologies

 Nanoassembly

 In situ Nanotechnologies

 Nanoelectronic Systems

 Nanoelectromechanical Systems (NEMS)

 Nanofluidic Systems

 Bio-inspired and Other Nanosystems

CNTCNT

ECE-416 Digital Control

Semester: Spring 2011

Credits: 3   

Prerequisite: ECE 303 or ECE 313

Restrictions:

Open only to juniors or seniors in the Electrical Engineering major or Computer Engineering major.

Description

State-space models. Analysis and design of control systems using state models. Digital control. Discrete-models of sampled-data systems. Quantization effects and sample-rate selection. System identification. Simulation of nonlinear control systems. Examples of nonlinear phenomena. State of the art of control engineering. Control laboratory.