Georgia Institute of Technology
The goals of this project include the development of real-time control for human-machine co-control of highly dynamic and potentially dangerous systems. The work focuses on formalizing the automated assessment of trust, primarily focusing on the degree to which a computer should trust a human operator. We are focusing on two experimental tasks: a) a crane operation task, where control in automation settings requires a highly skilled operator, and b) rehabilitation and training tasks.
Large-scale data management systems rely more and more on cloud storage, where the need for efficient search capabilities clashes with the need for data privacy. Searchable encryption is a tool for supporting queries to en- crypted databases which provides various levels of efficiency, functionality, and security.
The objective of this research is to understand mechanisms for generating natural movements of skeletal mechanisms driven by stochastically-controlled, biologically-inspired actuators. The approach is to verify the hypothesis that the variability associated with high redundancy and the stochastic nature of the actuation is key to generating natural movements.