SpaceX Starship belly-flop → flip → landing 6-DOF simulation with SCvx successive convexification guidance. 100% Monte Carlo success rate (20/20)! Features: 14-state dynamics, 4-flap differential control allocation, Bouc-Wen hysteresis, 15-state MEKF, 3× Raptor engines. 42/42 tests passed. Python + C++ | SpaceX星舰腹部翻转回收六自由度仿真，SCvx凸优化制导，蒙特卡洛100%成功率

Autonomous satellite docking using trajectory optimization, SCvx-style replanning, and obstacle avoidance in constrained dynamic environments.

Implementation of the final course project for Planning and Decision Making for Autonomous Robots (PDM4AR). The project applies Sequential Convexification (SCvx)–based motion planning to autonomous spacecraft navigation in a dynamic space environment with planets and moving asteroids, ending with a precision docking maneuver.

Planning & decision making coursework — search, MDPs, Dubins/Reeds-Shepp, SCvx spaceship docking, multi-agent. ETH PDM4AR 2025.

Stores the exercises of the planning and decision making for autonomous robots course offered by ETH master in the 2025 Autumn Semester