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• A dual-model framework for long-horizon multi-task learning is highly effective for robotic assembly tasks.method 90%
• Strategic utilization of recovery-from-failure curriculum data is critical for successful robotic deployment in assembly tasks.method 90%
• The RoCo Challenge attracted over 60 teams and 170+ participants from more than 10 countries.result 95%
• The challenge focuses on a high-precision planetary gearbox assembly task that is demanding yet highly representative of modern industrial operations.technical 85%
• Simulation-to-real gaps may cause unexpected failures in physical deployment of robotic assembly systems.limitation 80%
• High initial integration costs with existing manufacturing infrastructure present a barrier to adoption.limitation 80%
• The challenge operates in two phases: Simulation Round with fine-grained task phases for step-wise scoring and Real-World Round with physical gearbox components.method 90%
• The core assembly task requires assembling an epicyclic gearbox from scratch including mounting three planet gears, a sun gear, and a ring gear.technical 90%

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