开源对机器人的价值，远超大模型时代的想象丨唐文斌深度对谈抱抱脸创始人

Core Viewpoint - The article discusses the challenges in current robotics research, particularly the gap between simulation and real-world application, and introduces RoboChallenge.ai as a solution to create a standardized, open, and reproducible evaluation platform for robotics [1][40][50]. Group 1: Current Challenges in Robotics - Many models perform well in simulations but fail in real-world scenarios, highlighting a significant pain point in robotics research [1][40]. - There is currently no unified, open, and reproducible benchmark system to fairly compare different methods, strategies, and models in the robotics field [42]. Group 2: Introduction of RoboChallenge.ai - RoboChallenge.ai is launched as an open, standardized platform for evaluating robotics models in real physical environments, allowing researchers to remotely test their models on real robots [5][50]. - The platform enables global researchers to submit models and conduct experiments remotely, bridging the gap between simulation and reality [50][52]. Group 3: Importance of Open Source in Robotics - Open source is crucial for advancements in robotics, as it allows for collaboration and the sharing of models, which can be adapted for various robots [12][21]. - The article emphasizes that open source models are essential for localizing operations within robots, enhancing safety and functionality [22][25]. Group 4: Evaluation Mechanisms and Community Involvement - The need for an independent evaluation mechanism in robotics is highlighted, as current assessments often lack fairness and reproducibility [34][36]. - The article discusses the potential for community involvement in data collection and model testing, which can enhance the diversity and robustness of robotic strategies [61][66]. Group 5: Future Directions and Expectations - The article anticipates that in three to five years, embodied intelligence research will evolve to enable robots to perform longer and more complex tasks [77]. - The goal of RoboChallenge.ai is to create a fair and open platform for evaluating various robotic models, contributing to the overall advancement of the field [76][78].