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Saikrishna Swaminathan
Entry-level Aerospace/ADCS Researcher specializing in spacecraft controls and simulation
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About
Robotics/control-focused candidate with hands-on ROS2 + Gazebo experience implementing MPC with online state identification on a Crazyflie drone, including camera-based position determination fixes. Also worked on multi-agent spacecraft formation control and constellation optimization, debugging numerical drift and redesigning leader-follower control laws to handle delayed/outdated updates; uses Docker to ensure reproducible simulation results across machines.
Experience
Education
Key Strengths
- Designed and implemented MPC with online state identification on a Crazyflie drone using ROS2/Gazebo
- Strong ROS2 debugging: node/network graph inspection and isolating faulty nodes
- Simulation troubleshooting: identified coordinate frame definition errors in Gazebo
- Real-time control debugging in multi-agent spacecraft formation: traced instability to numerical drift and dynamics modeling issues
- Improved robustness under delays/incomplete information by redesigning leader-follower control to rely more on local states
- Reproducible simulation environments using Docker with pinned numerical library/solver versions
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