- Yosef Razin
- Ph.D. Student (Robotics)
- Montgomery Knight Building270 Ferst DriveAtlanta, GA 30332United 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.
Past research includes:
- 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
- Aerospace and Power
- Design and experimental work on the Direct Fusion Drive and the Princeton Field-Reversed Configuration (PFRC) Fusion Reactors for terrestrial power and rocket propulsion.
- Design and construction of the SunStation - A green off-grid 24/7 electric vehicle charging station
- Design of a Halbach Reaction Wheel Assembly for CubeSats
- Design and Manufacture of components for the Subaru Coronagraphic Extreme Adaptive Optics Project (SCExAO)
- Design and expermental work for the High Contrast Imaging Laboratory at Princeton University, including design and implementation of neural networks for performing adaptive optics.
- Bubble (Cambridge, UK)
- Princeton Satellite Systems, Inc. (Princeton, USA)
- Princeton Plasma Physics Laboratory (Princeton, USA)
- SCExAO, Subaru Telescope, NAOJ (Hilo, HI)
- High Contrast Imaging Laboratory, Princeton University (Princeton, USA)
- Princeton University
- University of Melbourne (study abroad)
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.