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Name
Yosef Razin
Title
Ph.D. Student (Robotics)
Address
Montgomery Knight Building
270 Ferst Drive
Atlanta, GA 30332
United States

A bit about me

I'm a Robotics PhD student, who came from three years in the aerospace industry. I'm intellectually curious with a strong foundation in both leadership and teamwork. My core strengths are in human-robot interaction, machine learning, mechanical design, control theory, neural networks, space mechanisms, and fusion propulsion.

My current research projects are Understanding Neuromuscular Adaptations in Human-Robot Physical Interaction for Adaptive Robot Co-Workers and Adaptive Intelligence for Cyber-Physical Automotive Active Safety System Design and Evaluation and I'm advised by Dr. Karen Feigh.

                                                                                                     Feel free to email me!
                                                                                                  Email: yrazin@gatech.edu
                                                                                           Website: yosefrazin.weebly.com

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Past research includes:

  • Robotics
    • Roo'bot: A Study in Hopping and Jumping for Biomemtic Locomotion (Senior thesis, Princeton University)
    • Simulation of CPGs for Bipedal Locomation
    • Design of a Fully Implantable Neural Electrode Interface for Control and Energy for prosthetics
    • Facial Recognition Using Neural Networks: A Hybrid Approach
    • Design and Simulation of a One Inch Robot

Past employers: 

Previous Education:

 

 

 

 

 

 

 

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Recent Projects

Models, Metrics, and a Mathematics of Interactional Trust for Humans and Automation

At the very core of technological acceptance is human-machine trust and its fragility. In this project we have proposed and are testing models of human-machine trust that includes its antecedents such as faith in technology, familiarity, and situation awareness. Our research also incorporates expectations that the automation will be cooperative and perform ethically, legally, and abide by norms, drawing from many fields from human-robot interaction to game theory, social psychology, and management and information science.

NSF-CPS: Adaptive Intelligence for Cyber-Physical Automotive Active Safety System Design and Evaluation

The main objective of this research is to use techniques and models from human factors, computational neuroscience, and adaptive and real-time optimal control theory in order to investigate the effects of the introduction of learning and adaptation to the next generation of ASCS. In particular, we will:
(a) Learn the driver’s habits, driving skills, patterns and weaknesses.
(b) Model his/her current cognitive state along multiple dimensions such as attentiveness, aggressiveness, etc.

NSF NRI-Small: Understanding Neuromuscular Adaptations in Human-Robot Physical Interaction for Adaptive Robot Co-Workers

The goal of this award is to develop theories, methods, and tools to understand the mechanisms of neuromotor adaptation in human-robot physical interaction.  Human power-assisting systems, e.g., powered lifting devices that aid human operators in manipulating heavy or bulky loads, require physical contact between the operator and machine, creating a coupled dynamic system.

Map of Cognitive Engineering Center

Cognitive Engineering Center (CEC)
Georgia Institute of Technology
270 Ferst Drive
Atlanta GA 30332-0150