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cs.RO2026
Transferring the Intelligence of VLMs to Robotic Control
Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang +6
Humans can seamlessly adapt to both physical and digital worlds, suggesting that while a digital-to-real gap exists in embodiment, environment and task, human intelligence itself m…
cs.RO2026
Efficient Coordination with the System-Level Shared State: An Embodied-AI Native Modular Framework
Yixuan Deng, Tongrun Wu, Donghao Wu +5
As Embodied AI systems move from research prototypes to real world deployments, they tend to evolve rapidly while remaining reliable under workload changes and partial failures. In…
cs.RO2025
GenTe: Generative Real-world Terrains for General Legged Robot Locomotion Control
Hanwen Wan, Mengkang Li, Donghao Wu +4
Developing bipedal robots capable of traversing diverse real-world terrains presents a fundamental robotics challenge, as existing methods using predefined height maps and static e…