6.13 실습·평가·참고자료
이 절 아래에 장별 참고문헌, 단계별 실습, 확인문제 해설과 최종 프로젝트 평가 기준을 한데 모았다.
6.13.1 참고문헌
- Hugging Face, Getting Started with Real-World Robots, 2026년 접근.
- Hugging Face, Adding a Policy, 실물 평가 결과 보고 지침, 2026년 접근.
- NVIDIA, Isaac Sim Randomization Snippets, 2026년 접근.
- NVIDIA, Replicator Domain Randomization Migration, 2026년 접근.
- J. Tobin et al., “Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World,” IROS 2017, arXiv:1703.06907.
- T. Z. Zhao et al., “Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware,” RSS 2023, arXiv:2304.13705.
- R. Y. Tsai and R. K. Lenz, “A New Technique for Fully Autonomous and Efficient 3D Robotics Hand/Eye Calibration,” IEEE Transactions on Robotics and Automation, 5(3), 1989, DOI:10.1109/70.34770.
- NIST/SEMATECH, Confidence Intervals for a Binomial Proportion, 2026년 접근.
- L. D. Brown, T. T. Cai, A. DasGupta, “Interval Estimation for a Binomial Proportion,” Statistical Science, 16(2), 2001, DOI:10.1214/ss/1009213286.
- ISO, ISO 10218-1:2025 Robotics — Safety requirements — Part 1, 2025.
- ISO, ISO 10218-2:2025 Robotics — Safety requirements — Part 2, 2025.
- ROS 2, Managed Nodes, lifecycle 설계 문서.
- ROS 2 Jazzy, Quality of Service Settings, deadline/liveliness/QoS.
- ROS 2 Jazzy, Using stamped datatypes with tf2_ros::MessageFilter, timestamp와 frame 기반 변환.
- Hugging Face, Policy Deployment, local RTC freshness/timeout 계약, 2026년 접근.
- Hugging Face, Real-Time Chunking, 2026년 접근.
- Hugging Face, Remote Inference, 2026년 접근.