Core Insights - The article discusses the challenges in the field of robotics, particularly the gap between simulation and real-world application, and introduces RoboChallenge.ai as a solution to create a standardized evaluation platform for embodied intelligence [2][42][51]. 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 [2][42]. - The need for a unified, open, and reproducible evaluation system for robotics is emphasized, as current benchmarks are primarily based on simulations [50][44]. Group 2: Introduction of RoboChallenge.ai - RoboChallenge.ai is launched as an open, standardized platform for evaluating robotic models in real-world environments, allowing researchers to remotely test their models on physical robots [6][51]. - The platform enables users to control local models through an API, facilitating remote testing without the need to upload models [8][53]. Group 3: Importance of Open Source in Robotics - Open source is identified as a crucial driver for advancements in AI and robotics, enabling collaboration and innovation across global teams [10][19]. - The article argues that open source in robotics may be even more critical than in large language models (LLMs) due to the necessity of hardware accessibility for model application [20][22]. Group 4: Future Directions and Community Involvement - The article anticipates that the next three to five years will see significant evolution in embodied intelligence research, with robots capable of executing longer and more complex tasks [82]. - Community participation is encouraged, with the expectation that diverse contributions will enhance data availability and model robustness [66][68].

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].