Redirected Walking Controller Evaluation
Evaluate Optimal Redirected Walking Planning Using Reinforcement Learning
What is This Project
This research was conducted under my exchange research internship with the University of Tokyo. Redirected Walking (RDW) is a technique commonly used to overcome the limitation of real walking locomotion while exploring virtual worlds. In this research, we conducted a user study to evaluate different RDW controllers implemented by Reinforcement-Learning.
Team Size
2
My Role
Programmer
Language
Python, C#
Contribution
Experiment Environment Design & Construction
Conducted User Study Experiments
Data analysis
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