Core Insights - Hanwang Technology showcased its bionic innovations at the 2025 World Robot Conference, emphasizing original innovation and commercialization in the bionic intelligence field [1][2] Industry Overview - The global bionic robot market is projected to exceed $42 billion by 2025, with a compound annual growth rate (CAGR) of 35%. Humanoid robots will account for over 60% of the market, while industrial applications will represent 35% and service scenarios will make up 25% [2] Company Innovations - Hanwang Technology's "Five Senses" artificial intelligence system integrates visual, auditory, olfactory, gustatory, and linguistic capabilities, leading to the development of bionic flying robots and security inspection robots [2][3] - The bionic flying robot offers significant advantages in stealth, maneuverability, and environmental adaptability compared to traditional drones, targeting consumer entertainment, education, and industrial applications [3] - The security inspection robot combines multimodal perception modules with high-performance motion systems, enabling it to perform complex tasks such as security inspections and emergency responses [3] Technological Development - Hanwang's unique approach to olfactory technology involves mimicking 400 human olfactory receptor proteins and additional receptors from dogs and mice, enhancing the system's ability to detect a wider range of odors [3][4] - The company believes that the digitalization of the five senses is an inevitable trend, with potential applications in security, healthcare, and more [4][5] Market Growth - The global market for robotic dogs has seen explosive growth, with sales increasing from 0.2 thousand units in 2019 to 3.4 thousand units in 2023, reflecting a CAGR of 102.3% [5] Commercialization Strategy - Hanwang follows a "step-by-step" commercialization strategy, focusing on gradual implementation based on technological maturity rather than seeking immediate large-scale deployment [5][6] - The company faces challenges in accumulating olfactory data for different applications, relying on both purchasing existing data and building its own database through meticulous detection and labeling [6][7]