Researchers have introduced MiMo-Embodied, a novel foundation model designed to operate across both autonomous driving and embodied AI tasks. This model has achieved state-of-the-art performance on numerous benchmarks in areas like task planning, spatial understanding, environmental perception, and driving planning. The success of MiMo-Embodied is attributed to its multi-stage learning approach, careful data construction, and fine-tuning techniques, demonstrating significant positive transfer between the two domains. AI
IMPACT This open-source model demonstrates cross-domain transfer learning, potentially accelerating development in both robotics and autonomous systems.
RANK_REASON The cluster describes a technical report detailing a new foundation model released as open-source, including code and models.
- arXiv
- Autonomous Driving
- Driving Planning
- Long Chen
- MiMo-Embodied
- Status Prediction
- Embodied AI
- Spatial Understanding
- Task Planning
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