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Pavan Yarlagadda
Junior Robotics Software Engineer specializing in ROS2 autonomy
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About
Graduate student researcher on the EARTH project (college collaboration with Moog) working on robotics for an arm/bucket system. Implemented waypoint-based path planning, built an Apriltag data pipeline, and developed ROS 2 tooling including a joystick-to-DeltaCAN teleop node; exploring reinforcement learning policies trained from Tera simulator + ROS 2 bag data to optimize trajectory planning under varying pressure/load conditions.
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Key Strengths
- ROS 2-based robotics development using MoveIt, Gazebo, and RViz2
- Built joystick-to-DeltaCAN teleop node mapping inputs to joint velocity commands
- Implemented waypoint-based path planning and created simulation environment to match real-world behavior
- Built Apriltag data processing pipeline
- Uses ROS 2 bag data and simulator logs to preprocess/train models
- Understands sim-to-real risks (noise, unmodeled dynamics, sensor delays) and plans mitigation
- Applies research-driven approach (autonomous excavator RL literature) to trajectory optimization
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