Miss Talent Mungiri
Position: Lecturer
Qualification
- MSc in Instrumentation, BSc Electronics Engineering
Research Area: Intelligent Robotic Systems and Autonomous Instrumentation
My research focuses on creating the next generation of smart robots and autonomous systems. By integrating advanced Machine Learning with core Robotics and precision Instrumentation, we develop machines that can perceive, learn from, and adapt to complex environments.
This work moves beyond pre-programmed automation, enabling robots to perform dexterous manipulation, navigate uncertain environments, and optimize their own performance through experience. Our applications span intelligent manufacturing, autonomous navigation, robotic-assisted surgery, and agile field robotics.
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