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Satvik Singh
Intern Machine Learning & Robotics Engineer specializing in computer vision and SLAM
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About
Robotics software engineer with hands-on medical robotics experience on an automated CT-guided lung biopsy robot, building a CT-voxel-to-mesh pipeline that generates and visualizes up to 1000 collision-safe needle insertion points and ports them into robot space for IK execution. Strong ROS2 background spanning AprilTag perception, Kalman-filter state estimation, visual SLAM, and Voronoi-based motion planning, plus deployment work containerizing ORB-SLAM on ROS2 Humble and CI/CD automation at Siemens EDA using Perforce.
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Key Strengths
- Medical robotics pipeline: CT voxel processing to lung/rib mesh to safe needle insertion point generation
- Collision-aware planning for biopsy needle paths avoiding rib cage; generated up to 1000 candidate insertion points
- ROS2 node architecture integrating perception (AprilTags), state estimation (Kalman filter), and visual SLAM
- Robustness strategy for intermittent sensor loss using time-of-flight style dead-reckoning to avoid deadlocks
- Performance-minded optimization by leveraging C++ libraries over Python where needed
- Systematic debugging via reproducible tests and log analysis to isolate root causes
- Deployment experience containerizing ORB-SLAM on ROS2 Humble for a standalone mobile robot
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