Innovative Approach to Autonomous Lavender Harvesting Robot Design Through Cognitive and Systematic Design Integration

Addressing the intricate challenges of lavender harvesting, this study pioneers the development of an autonomous robot, integrating cutting-edge methodologies to enhance agricultural robotics. Traditional harvesting methods have faltered in efficiently collecting lavender, a crop demanding precise and gentle handling. By synthesizing the “Cognitive Breakthrough Assistant” (COBRA), generative AI, the Theory of Inventive Problem Solving (TRIZ), and the Complex Systems Design Technique (CSDT), our research seeks to dismantle psychological inertia, fostering a fertile ground for innovative solutions in robotic design. The methodology adopts COBRA to pinpoint and disrupt entrenched thinking patterns, utilizing its natural language processing to reassess and redefine problem-solving paradigms. The amalgamation of generative AI with TRIZ and CSDT propels forward the ideation and design phases, crafting a robot equipped with sophisticated navigation, delicate handling mechanisms, and adaptive algorithms tailored for the nuances of lavender fields. This interdisciplinary approach yields a prototype that excels in diverse harvesting scenarios and sets the stage for its optimization toward commercial viability, emphasizing scalability and sustainability. With rigorous field trials, the prototype's efficacy in real-world conditions promises a significant leap toward commercial production.