专访清华大学Tinker队！斩获商用服务自主赛一等奖后他们还有更大的目标！

Core Viewpoint - The Tinker team from Tsinghua University won the first prize in the Intelligent Commercial Service Scenario Application Competition at the 2025 Second Zhongguancun Embodied Intelligent Robot Application Competition, showcasing their advanced technology and teamwork [1]. Team Composition and Structure - The Tinker team is guided by Professor Chen Rui from the Mechanical Engineering Department of Tsinghua University, consisting mainly of undergraduate students from various disciplines such as automation, electronics, mechanics, computer science, and software, allowing for knowledge complementarity [4]. - The team established clear divisions of labor from the outset, with each module's core work assigned to students with strong professional capabilities, ensuring efficient progress in robot technology [5]. Technical Preparation and Strategy - The Tinker team identified the competition's rules as highly compatible with their long-term preparation for the RoboCup@Home competition, focusing on practical application and rapid iteration of their technology [6]. - The team conducted in-depth analysis and comparison of competition tracks, selecting the "Intelligent Commercial Service Scenario Application Competition (Autonomous)" as their core task due to its alignment with their technical strengths and past experiences [6]. Project Management and Collaboration - The team implemented a detailed project breakdown into multiple technical modules, assigning responsible leaders for each module to ensure clarity in task objectives and responsibilities [7]. - Weekly team meetings served as a platform for information synchronization and collaborative progress, allowing for timely updates on work progress and problem-solving discussions [10]. Technical Challenges and Solutions - Throughout the competition, the team faced significant technical challenges, particularly in dynamic environments, requiring high levels of multi-module collaboration, system robustness, and real-time performance [11]. - The team focused on overcoming three core technical challenges: achieving high-precision, low-latency mapping and autonomous positioning; optimizing multi-target detection and semantic understanding models; and enhancing the success rate of the robotic arm's grasping capabilities [13]. Practical Application and Future Directions - The competition provided a comprehensive practical platform for the team, facilitating the transition from basic research to system integration and real-world application [13]. - The Tinker team anticipates that embodied intelligence will achieve large-scale application in clearly defined, safe, and controllable closed or semi-closed environments within the next 1-3 years, particularly in education and logistics [22][23]. Future Competitions and Goals - The team is now focused on preparing for the RoboCup domestic and international competitions, aiming to enhance the robot's autonomous decision-making capabilities and robustness in complex, dynamic environments [24]. - The Tinker team plans to deepen collaboration with Professor Chen Rui's laboratory to integrate cutting-edge research into their robot platform, aiming for a replicable and scalable embodied intelligence technology system [26].