🧠Virtual agent research
PFC theoretical model:
I developed and tested a cognitive model written in C# that controls a virtual agent
Tech Highlights:
Cognitive model allows virtual agent to explore world and learn from experiences
Agent can form decisions to achieve a goal. If it encounters obstacles, it can form new plans involving tools
🤖 Humanoid Rover Robot Learns from World
Robot configuration
Servo Motor Mapping tool
Emotion Model allows robot to track progress toward goals and to choose proportionate reactions based on failures.
Tech Highlights:
Body State system gives robot motivation to achieve certain goals that will satisfy needs
Motor Plan system allows robot to form action sequences to achieve desired outcomes
Emotion system allows robot detect when initial plans are not working out
The emotion model drives various behaviors that allow robot to get back on track
