Robotic Garden Environment Simulation — Robot Programming Coursework (2025–2026)
Built and documented a robotic garden simulation project using robot programming and AI automation concepts for behavior adaptation to real-time inputs. The work focused on implementing environment-responsive control logic driven by sensor integration and autonomous navigation behaviors. While not formal dataset annotation, it constitutes AI training-style development of adaptive behaviors and simulation-ready logic with documented project artifacts. • Implemented sensor integration and autonomous navigation behaviors • Developed environment-responsive control logic for adaptive robot behavior • Applied AI automation concepts to react to real-time environmental inputs • Produced full project documentation with a public GitHub repository