开放全栈智能服务机器人生态系统

Contents Preface03 Chapter One: Overview of the Global Service Robot Market1.1. Concept definition and research scope1.1.1. Concept definition of service robot1.1.2. Classification of service robots and the scope of thereport's research1.2. Analysis of global service robot industry developmenttrends1.2.1. The global service robot market is experiencingstrong growth1.2.2. Technological innovation drives industrydevelopment and innovation1.2.3. Transitioning from specialized to general-purpose1.2.4. The commercial service robot industry enters thesecond half of its development1.3. Opportunities and challenges faced by theimplementation of service robots1.3.1. Barriers to openness in the industry ecosystem1.3.2. Barriers to the versatility and generalization ofservice robots1.4. ESG practice guidelines for the service robot industry1.4.1. Green supply chain (E)1.4.2. Global market compliance certification (S)1.4.3. Information security and privacy protection (G)Chapter Two: The Open Full-stack Intelligent ServiceRobot Ecosystem2.1. Define the ecosystem2.2. Ecosystem development pathway for the second half ofthe industry2.2.1. Ecosystem technological foundation: modulardesign and AIoT-Based R2X0506060607071112131414151819202225272930 2.2.2. Business model transformation: multi-categoryproduct matrix empowering full-stack embodied AI2.2.3. Generalized and diverse forms: specialized + semi-humanoid + humanoid2.2.4. Embodied AI powered by multi-technology stacks:mobility + manipulation + interaction2.2.5. Open, collaborative, and general-purpose: drivinginnovation for a more sustainable and inclusive future2.3. Unlocking ecosystem valueChapter Three: Global Implementation Across Industries3.1. Industry applications and field experiences3.1.1. Manufacturing3.1.2. Hotel3.1.3. Catering3.1.4. Retailing3.1.5. Healthcare3.1.6. Elderly care3.1.7. Large transport hubs (airports as an example)3.2. Service robotics enabling sustainable development3.2.1. Hotel & building scenarios: energy saving, carbonreduction and privacy protection3.2.2. Manufacturing scenarios: cleaner emissionreduction and labor well-being3.2.3. Medical scenarios: health governance3.2.4. Retail scenarios: energy saving and green cleaning3.2.5. Elderly care scenario: elderly care assistance andhumanized service3.2.6. Scenarios for large transport hubs (airports as anexample): public service and security governanceConclusion39414554555759596163656769717373747576777781 Preface As the global economy pivots toward intelligentindustrial transformation, service robots areemerging as indispensable tools of productivityacross various industries and a key forcedriving innovation and efficiency gains. At thesame time, advancements in cutting-edgetechnologies, particularly artificial intelligence,are propelling the robotics industry toward anera of embodied AI. Yet, the path to large-scaledeployment of service robots remains strewnwith both promise and peril, shaped by shiftingtechnology thresholds and untested businessmodels. Within this ecosystem, robots are expected togradually improve in learning and adaptivity,becoming better suited for handling a widerange of tasks and environments. This couldexpand their use across different settings andincrease their practical value. In turn, suchadvancements will contribute to higher levelsof efficiency and intelligence across industries,with broader economic and social benefits. Cross-industry collaboration and resourcesharing are also central to this ecosystem,which aims to deliver full-stack intelligentsolutions tailored to specific operationalneeds. Overtime, this will help intelligenttransformation across industries. To navigate increasingly complex marketdemands and a growing diversity of applicationscenarios—coupled with the inflectionpoint emerging in the second half of thecommercial service robotics industry—Pudu Robotics has taken the lead globallyin proposing an open, full-stack roboticsecosystem.The aim is to foster a general-purpose platform that supports wide-rangingdeployment and coordination of service robotsthrough both technological and businessmodel innovation. Realizing this vision will require progresson several fronts – including productsdiversification, integration of mobility,manipulation and interaction functions,and the development of multiple roboticforms, ranging from specialized platforms tohumanoid designs. Success will depend oncontinued innovation in both technology andbusiness practice. This ecosystem is not limited to a technicalarchitecture; it also incorporates producttechnology and business model innovation.It is intended to support collaborationand integration of service robots acrossvarious service scenarios. By encouragingthe development of industry standardsand enabling innovation across multipletechnology stacks, the ecosystem will helpdrive transformative change in the globalservice robotics industry and support thetransition toward a new era of general-purposeembodied A