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Qwen-RobotManip achieves unprecedented generalization in robotic manipulation by effectively aligning diverse data sources, outperforming existing models across multiple challenging benchmarks.
Qwen-RobotNav achieves unprecedented flexibility in navigation tasks by allowing real-time reconfiguration of its observation strategy, setting new benchmarks in the field.
Language-driven video generation in Qwen-RobotWorld achieves unprecedented accuracy in predicting robotic actions, outperforming existing models across key benchmarks.
AHA-WAM achieves a remarkable 92.80% success rate on RoboTwin while executing actions at 24.17 Hz, all without the need for prior robot-data training.
