Building trust in machine learning and robotics

In this project, we will look into defining various machine learning methods, and its applications into robotic technologies and suggest factors that are required in automation. In industry, trust is key in ensuring acceptance and continuous progress and development. It is hoped that the findings from this research will contribute towards the awareness and importance of technologies on the basis of policies and regulations, to maximize the advanceme...

Multi-Scale Mechanical Characterization Laboratory

With this grant, the PIs establish a new, interdisciplinary Multi-Scale Mechanical Characterization Laboratory (MMCL) at CSUN. The proposed MMCL will greatly extend current research capabilities and allow for new cutting-edge research avenues. In particular, the new laboratory will enable interdisciplinary work on key thrusts of the identified DoD agency technical areas. Planned projects include the design of smart, composite and lattice material...

Deformation of MC-4 Ram-Air Canopy due to Control and Suspension Line Retraction

In the past two years we have developed expertise in using a nonlinear, finite element- based simulation software package to compute the inflated geometry of a ram-air parachute canopy from its cut-pattern. Specifically, we have examined the geometry of MC-4 parachute canopy with uniform and variable pressure distributions. Moreover, we have devised a set of metrics to compare the canopy geometry under various loadin...