康迪科技发布智能配送机器狗解决方案

Core Insights - Kandi Technologies Group has announced the completion of key functional modules for its "Intelligent Delivery Robot Dog Solution," which will now enter the pilot and commercialization validation phase [1] - The company is transitioning from a pure manufacturing entity to a technology-driven enterprise, establishing a business framework focused on North American off-road mobility products and supported by smart robotics and energy exchange equipment [1] - The intelligent delivery robot dog addresses high labor costs and limited delivery efficiency in the logistics industry, potentially providing an efficient and sustainable supplementary capacity for the express logistics sector [1] Product Development - The intelligent delivery robot dog is equipped with a proprietary delivery box and an integrated hardware and software system, specifically designed for gated communities and office environments [1] - The system allows couriers to select the robot dog and input delivery addresses, with features such as barcode identity verification and voice interaction prompts already developed and tested [1] - Future developments include autonomous navigation and automatic return functions, aiming to achieve a complete delivery loop [1] Strategic Partnerships - Kandi Technologies' CEO, Chen Feng, highlighted the diverse applications of the robot dog in supporting the company's global strategic layout, including a recent partnership with Indonesia's largest digital ecosystem company, Goto Group, to explore "last mile" delivery solutions [2] - The "Intelligent Delivery Robot Dog Solution" demonstrates the company's ability to deeply integrate core AI technology with robotic platforms, ensuring that technological innovations align with market demands from the outset [2] - The initiative reflects the company's accumulated expertise in smart mobility technology, system integration, and innovation capabilities, showcasing its strategic foresight and market potential in the field of intelligent robotics [2]