아카이브
2026
- 07-10 [Linear Algebra] 3Blue1Brown 선형대수학의 본질 정리
- 07-08 [SLAM Study 6주차] LIO 내부 데이터 흐름 추적
- 06-30 [SLAM Study 5주차] Fixed Map Registration과 Point-to-Plane Residual
- 06-30 [SLAM Study 4주차] 실제 rosbag Offline Deskew: UNIST Livox와 Go2 연결
- 06-29 [SLAM Study 3주차] Synthetic Deskew와 Scan Distortion
- 06-29 [SLAM Study 2주차] LiDAR Timestamp와 측정 시간
- 06-25 [SLAM Study 1주차] 좌표계와 SE(3)
- 06-24 [Sim2Real Paper 8] Learning to Walk in Minutes
- 06-24 [Sim2Real Paper 7] Rapid Motor Adaptation
- 06-24 [Sim2Real Paper 6] Challenging Terrain Locomotion
- 06-24 [Sim2Real Paper 5] Agile and Dynamic Motor Skills
- 06-24 [Sim2Real Paper 4] Learning Agile Locomotion
- 06-24 [Sim2Real Paper 3] Dynamics Randomization
- 06-24 [Sim2Real Paper 2] Domain Randomization
- 06-24 [Sim2Real Paper 1] Noise and The Reality Gap
- 06-22 [Unitree Go2 part 9] 종합설계 후기
- 06-19 [Unitree Go2 part 8] 온도 Reward는 왜 한 번 실패했나
- 06-19 [Unitree Go2 part 7] 모터 온도를 Reward로 넣기
- 03-20 [Unitree Go2 part 6] 논문을 위한 데이터 따기
- 03-06 [Unitree Go2 part 5] Sim2Real 성공
- 01-30 [Unitree Go2 part 4] Feed-forward Torque 실험
- 01-24 [Unitree Go2 part 3] Reward 수정과 Real Gap
- 01-16 [Unitree Go2 part 2] 발을 떼지 않는 문제 분석
- 01-13 [Unitree Go2 part 1] Sim2Real 첫 도전
- 01-09 [Unitree Go2 part 0] Unitree Go2와 Unitree ROS2 구조 분석
2025
- 12-29 [IsaacLab Part 4] RL Policy로 Isaac Sim에서 Go2 로봇 걷게하기
- 12-22 [IsaacLab Part 3] 강화학습으로 Go2 걷게하기
- 12-17 [IsaacLab Part 2] Unitree Go2 환경 구성하기
- 12-04 [IsaacLab Part 1] Unitree Go2 URDF import
- 12-02 Isaac Sim Tutorial 6. ROS2 Joint Control
- 12-01 Isaac Sim Tutorial 5. ROS2 Publish Rate and QoS
- 11-28 Isaac Sim Tutorial 4. TF Trees and Odometry
- 11-27 Isaac Sim Tutorial 3. RTX Lidar Sensors
- 11-27 Isaac Sim Tutorial 2. ROS2 Cameras
- 11-26 Isaac Sim Tutorial 1. TurtleBot으로 ROS2 연결하기
- 09-12 6. Policy Gradient DRL
- 09-11 5. DRL (Deep Reinforcement Learning)
- 09-06 4. RL (Reinforcement Learning)
- 08-29 3. DP (Dynamic Programming)
- 08-28 2. Bellman Equation
- 08-27 1. MDP (Markov Decision Process)