Papers
8
Total Citations
76
H-Index
4
About
Changrak Choi is a robotics and aerospace researcher whose work spans autonomous spacecraft operations, in-pipe inspection robots, and motion planning. His key contributions lie in developing novel guidance and control architectures for multi-spacecraft on-orbit inspection, where his information-based approach (41 citations) enables multiple observer spacecraft to efficiently map targets in low Earth orbit using stable passive relative orbits. In robotics, Choi designed a friction-controlling mechanism for in-pipe robots that minimizes energy consumption (13 citations), addressing a critical challenge for wheeled robots navigating pipe networks. His work extends to torque-efficient motion through singularities (5 citations) and multi-robot motion planning via parabolic relaxation (5 citations), offering computationally tractable solutions for complex coordination problems. More recently, Choi has pioneered constraint-informed learning for warm-starting trajectory optimization (3 citations), aiming to accelerate nonlinear solvers for real-time autonomous operations in space and surface robotics. His research consistently bridges theoretical advances with practical applications, from liquid pipe inspection robots to autonomous spacecraft systems, demonstrating a commitment to solving real-world challenges through innovative algorithmic and mechanical design.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Torque efficient motion through singularity5 citations · 2017
- 4Multi-Robot Motion Planning via Parabolic Relaxation5 citations · 2022
- 5Robot design for high flow liquid pipe networks4 citations · 2013
- 6Constraint-Informed Learning for Warm-Starting Trajectory Optimization3 citations · 2025
- 7Robot design for leak detection in water-pipe systems3 citations · 2012
- 8Constraint-Informed Learning for Warm Starting Trajectory Optimization2 citations · 2023