Industrial AGV Autonomy @ VisionNav Robotics
VisionNav Robotics builds vision-guided autonomous forklifts (AGVs/AMRs) for warehouses and plants. I work across the full autonomy and integration stack — SLAM, calibration, perception, PLC communication, and functional safety. Below is a high-level look at the areas I work in, focused on the skills involved rather than client specifics.
What I work on
A high-level snapshot — grouped by area, with the skills each one draws on.
3D LiDAR SLAM Deployment
Deployed 3D LiDAR SLAM on AGVs with on-site mapping and localization tuning across the perception and safety stacks.
Multi-Sensor & Multi-LiDAR Calibration
Aligned safety and perception LiDARs, tuned external parameters (yaw/pitch), and calibrated fork height and precision docking.
Functional Safety (SICK)
Configured SICK safety laser scanners in Safety Designer — protective fields and functional-safety validation for mixed human–robot environments.
PLC ↔ AGV Communication
Built PLC–AGV communication on an Allen-Bradley Micro820 over Modbus TCP — I/O mapping, signal handshaking, and traffic-light control logic.
Bright-Eye YOLO Vision Pipeline
Contributed to a YOLO detection pipeline — data collection, annotation, training, and ONNX→TensorRT deployment — for pallet and reel detection.
System Integration & Fleet Commissioning
Integrated the RCS scheduler, vision server, PLC wrapper machine, and customer MES; commissioned the AGV fleet (routes, scheduling, PDA ops) and ran FMEA analyses.