Design and scale the autonomy stack for heavy-construction robots by integrating perception, planning, and control. Build simulation environments, improve perception pipelines and sensor calibration, enable learned-model deployment, develop data collection and validation workflows, diagnose real-world failures, and deploy robust manipulation systems for field use.