北理工“智探灵鼠”团队用仿生机器鼠攻克微小型机器人瓶颈，斩获2025中关村具身智能学术前沿赛道一等奖

Core Viewpoint - The article highlights the successful conclusion of the 2025 Second Zhongguancun Embodied Intelligent Robot Application Competition, focusing on the theme "Embodied Intelligence, Application Future" and showcasing innovative teams from around the world [1]. Group 1: Competition Overview - The competition covered three core tracks and 19 key tasks, ranging from algorithm optimization to practical applications, demonstrating the cutting-edge achievements and application potential of embodied intelligent technology [3]. - The academic frontier and industrial ecology track received significant attention, focusing on both academic innovation and industrial potential, with participants showcasing advancements in various robotic fields [3]. Group 2: Team Achievements - The Beijing Institute of Technology's "Smart Mouse" team won the academic frontier track with a palm-sized, multi-modal quadruped robot capable of navigating narrow pipes and debris [3]. - The team identified industry pain points, particularly the limitations of conventional quadruped robots in confined spaces, and developed a solution inspired by the movement mechanisms of small rodents [5]. Group 3: Innovation Methodology - The team employed a systematic innovation methodology, transitioning from theory to practice and back, which involved extensive literature review, simulation validation, and real-world deployment to refine their theoretical models [6]. - Key breakthroughs included high biomimetic structure, multi-parameter integration, and coordinated control, resulting in a robot with 14 degrees of freedom at a scale of 20 cm [8]. Group 4: Practical Applications and Challenges - The technology developed by the team has clear pathways for industrial application, addressing the mobility limitations of small robots and enabling use in complex environments like pipeline inspections and disaster rescue [11]. - The team faced challenges in transitioning from simulation to reality, particularly in addressing performance issues caused by real-world factors, which led to the adoption of a data-simulation-physical testing iterative development model [12]. Group 5: Lessons Learned - The team emphasized the importance of early physical validation over reliance on simulations to identify bottlenecks and avoid unnecessary rework [14]. - They highlighted the significance of data and documentation accumulation for future reference and project reporting [14]. - The necessity of interdisciplinary collaboration was recognized, as the complexity of embodied intelligence requires expertise across multiple domains [14]. Group 6: Conclusion - The "Smart Mouse" team secured first place due to their comprehensive advantages in innovation, practicality, and stability, with their technology poised to play a significant role in various complex scenarios [15].