Builds on CORE-08's freelance foundations to address the specialized professional practices of robotics operations careers. Covers robot data management (LIDAR, camera, and telemetry data streams, retention policies, privacy considerations for robots with cameras/microphones in homes and hotels), warehouse and logistics operations fundamentals (WMS, order fulfillment, conveyor systems), building operations functions from scratch (playbooks, runbooks, monitoring dashboards, hiring plans), presenting operational data to executives and investors, and the field-to-engineering feedback loops that turn operational experience into product improvement. The extended hours reflect a substantial capstone simulation running concurrent deployments.
Levels: Remember · Understand · Apply · Analyze · Evaluate · Create — highest demands most original thinking.
Designing data collection, storage, retention, and privacy policies for robots that generate terabytes of sensor data weekly; balancing diagnostic needs against storage costs and privacy obligations.
Understanding the WMS-driven fulfillment process, conveyor and sortation systems, human picker workflows, and how robot operations integrate into the broader operational ecosystem.
Building the complete operational infrastructure from zero: playbooks, runbooks, dashboards, reporting, inventory, hiring, training, and feedback loops; creating systems that work without you.
Translating operational data into business language for VP/Director/C-suite audiences; building ROI analyses that justify automation investment; presenting to investors with operational metrics that demonstrate scalability.
Serving as the conduit between customer-facing operations and product engineering; providing structured, data-rich feedback that drives product improvements; tracking the feedback-to-implementation pipeline.
Transitioning from doing everything yourself to building systems, hiring, and delegating; recognizing when operational volume requires the next hire, the next process, or the next tool investment.
Robotics Operations Capstone — Student runs a 6-week capstone simulation managing concurrent robotics operations: 3 active customer sites with ongoing monitoring and support, 1 new deployment (full lifecycle from site survey to go-live), and 1 customer at risk of churn requiring a recovery plan. Deliverables include: complete operations playbook (deployment, support, maintenance, updates), fleet performance dashboards, monthly customer ROI reports, a data management and privacy policy, executive presentation summarizing 90-day operational performance with investment recommendation, field-to-engineering feedback report (top 10 issues with supporting data), and an operations hiring plan for scaling from 1 to 3 field engineers.
Freedom Robotics, InOrbit, or Formant for fleet monitoring, telemetry, and operational dashboards.
Robotics simulation for pre-deployment testing, layout optimization, and operational improvement validation.
Warehouse management systems for understanding fulfillment workflows and robot-WMS integration.
Maintenance management for tracking work orders, spare parts, and building predictive maintenance datasets.
ROI models, fleet tracking, capacity planning, and operational performance analysis.
Executive dashboards and fleet performance visualization for stakeholder reporting.
Engineering feedback tracking, feature request management, and issue pipeline monitoring.
Operations playbooks, knowledge base, and institutional documentation for scaling teams.
Customer account management, escalation tracking, and renewal pipeline monitoring.
AI-assisted documentation, analysis, communication drafting, and operational research.
Alerting and on-call management for fleet operations monitoring and incident response.
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