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CERLAB

The CERLAB stands for Computing Engineering and Robotics Laboratory, it was stablished in 1998 by Professor Kenji Shimada. The CerLab is a laboratory in the Mechanical Engineering department and part of Carnegie Institute of Technology. Devoted to research projects in multiple areas such as robotics, surgical implants and meshing technologies, it has very strong ties with industries such as Honda, Denso and Autodesk.

CerLab

History[edit]

Faculty and academic research staff[edit]

Currently there are more than 21??? faculty, academic research staff and student members.

Focus Projects[edit]

Bubble Packing[edit]

Bubble packing is a physically based method which can improve the quality of unstructured grids effectively by mimicking the force balance configuration to locate the optimal node positions in any geometry.

The main characteristics of the bubble packing approach and what makes it different from other particle interaction methods are.

• The focus is a highly efficient system that minimizes the computational time for a given dynamic simulation by reaching a correct force-balancing configuration.

• A correct guess of the final location for the bubbles reduces the computational time, for which a hierarchical subdivision of the domain is perform before the simulation starts.

• The bubble sizes can be change individually, which gives highly controllable pattern generation.

• Sometimes bubbles are located in such a way that overlapping happens, because of that controlling the population is necessary for a rapid convergence of the system.

• Once the bubbles move it is important to anchor the location of the bubble, meaning that the results have to lie always in a curve or a surface.

Bubble packing has three major steps: a) A virtual mass is added to the physical domain according to certain rules until the domain is fully filled with closely packed bubbles. b) The bubbles are relocated by solving motion equations incorporating virtual inter bubbles forces until the bubble system reaches equilibrium and the forces have been minimized. Overlapping bubbles and gaps are present at this stage, but they can be eliminated efficiently, and the optimization of node placement improve, which increases the quality of the grid. c) Finally all the centers of the bubbles are connected via the Delaunay triangulation technique to generate an unstructured grid.

There are a variety of projects related to application of bubble packing in different analysis problems.

File:Robots

robotic arm

Robotics[edit]

BioMedical[edit]

Bone distraction device
Distraction osteogenesis is a procedure that stimulates bone growth to lengthen bone, as well as to correct bone deformity. We are looking into developing a new device and surgical system to carry out the procedure in a much more efficient and intuitive method.

Machine Learning[edit]

References[edit]

External links[edit]

Professor Kenji Shimada Personal Web Page [1]