Charles I. Abramson
Oklahoma State University, Oklahoma State University Oklahoma City
Papers
10
Total Citations
102
H-Index
6
About
Charles I. Abramson is a multidisciplinary researcher whose work spans comparative psychology, behavioral science, human-robot interaction, and synthetic biology. Best known for bridging animal learning models with emerging technologies, Abramson has made significant contributions to understanding how behaviorist principles can inform both biological and artificial systems. His highly cited 2021 primer on behaviorist approaches to memory and learning (47 citations) has become an important resource for researchers in synthetic biology and bioengineering, demonstrating how classical learning frameworks can guide the development of novel organisms and biobots. Abramson's innovative research on honey bee flight kinematics under ethanol exposure (12 citations) exemplifies his creative use of insect models to inform robotics and swarm intelligence. A particularly notable strand of his work explores robots as teachers rather than learners — developing reinforcement learning models and mutual learning frameworks that enable humanoid robots to instruct and collaborate with human participants on complex tasks. His contributions to comparative psychology education, including editing a special issue featuring over 50 inquiry-based activities, further highlight his commitment to advancing both research and pedagogy in behavioral science.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Using Human Reinforcement Learning Models to Improve Robots as Teachers9 citations · 2018
- 4Learning Task-Based Instructional Policy for Excavator-Like Robots9 citations · 2018
- 5A Reinforcement Learning Model for Robots as Teachers8 citations · 2018
- 6Mutual Reinforcement Learning with Robot Trainers6 citations · 2019
- 7
- 8Semantic structure for robotic teaching and learning3 citations · 2017
- 9Can Co-robots Learn to Teach?2 citations · 2016
- 10