Core Viewpoint - The rapid development of the robotics business is driving new growth opportunities for lidar technology, particularly in underwater scenarios, with significant innovations expected from Guangfeng Technology's upcoming underwater lidar product launch at the 26th China International Optoelectronic Exposition [1][4]. Industry Summary - The application of lidar in the robotics sector has seen explosive growth, with major manufacturers reporting substantial increases in product sales. For instance, SUTENG's latest financial report indicates that its robot product sales reached 34,400 units in Q2 2025, a year-on-year increase of 631.9% and a quarter-on-quarter increase of 189.1%. Similarly, Hesai Technology reported a delivery volume of 48,500 units in the robotics field, marking a year-on-year growth of 743.6% and projecting over 200,000 lidar shipments in 2025 [1][3]. Market Potential - The primary orders for lidar in the robotics field currently stem from lawn mowing robots, benefiting from the adaptation of automotive lidar technology. However, there is a notable growth in pool cleaning robots, with the global number of pools expected to rise from 28.88 million in 2021 to 36.92 million by 2026, reflecting a compound annual growth rate of approximately 5%. The demand for pool cleaning robots is projected to reach around 10.34 million units by 2026, with a penetration rate of 28% [3]. Technical Challenges - The underwater application of lidar faces several technical challenges, including significant attenuation of infrared lasers in water, with 905nm infrared light losing over 60% of its energy after traveling just 1 meter in clear water. Additionally, the effective measurement range is limited to under 5 meters due to the absorption and scattering of light in water, compounded by environmental light interference and water turbidity issues that complicate signal processing [3]. Company Innovation - Guangfeng Technology's upcoming underwater lidar product is highly anticipated to address these underwater perception challenges, providing more accurate and reliable sensing solutions for underwater robots like pool cleaning devices. This innovation is expected to unlock a billion-level incremental market space [4].