多模态具身算法实习生
Tasks
- Build evaluation methods for success rate
- Compare action policy training and finetuning strategies
- Design ego data pretraining experiments
- Develop structured research conclusions and roadmap
- Evaluate cross task transfer
- Execute real robot finetuning experiments
- Integrate ego priors with agentic robotics
- Measure OOD generalization
- Optimize training recipe data ratios
- Perform statistical analysis with random seeds
- Replicate and validate frontier research methods
- Run mixed training experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Action Policy | Computer Vision | Data Preprocessing | Deep learning | Diffusion Models | Distributed Training | GPU Training | Imitation Learning | PyTorch | Python | Reinforcement Learning | Statistical Testing | Video Generation | Video Understanding | World Model
Education
Regions
Countries
States
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