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Aman Chandak
Senior UAV/Robotics Engineer specializing in perception, sensor fusion, and localization
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About
Robotics software engineer working on GNSS-denied UAV localization using 5G PRS (OpenAirInterface + USRP B210) and multi-sensor fusion, with a published AIAA SciTech 2026 result achieving 1.5m RMSE on low-cost hardware. Also integrating a Vision-Language-Action model (SmolVLA) onto the Stretch 2 platform for language-assisted manipulation, leveraging ROS 2, imitation learning data collection with RGB-D, and simulation in Gazebo/MuJoCo for sim-to-real deployment.
Experience
Education
Key Strengths
- Published 5G PRS-based UAV localization method (AIAA SciTech 2026)
- Improved indoor localization accuracy from ~20m error to 1.5m RMSE via calibration and outlier rejection on low-cost SDR hardware
- Hands-on integration of VLA outputs to Stretch 2 joints/gripper via custom ROS 2 nodes
- Built generalized control approach for heterogeneous multi-robot RL training (P-PID cascade + MPC cost)
- Experience migrating ROS 1 packages to ROS 2 and resolving inter-node/TF transformation issues
- Creates custom URDF/XML assets to enable efficient sim-to-real transfer
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