M08-03 · AI + Robotics & Automation Operations

Robot Deployment and Site Implementation

AI + Robotics & Automation Operations →

Covers the end-to-end process of deploying robots at customer or facility sites, from pre-deployment surveys through go-live and post-launch monitoring. Students learn pre-deployment site assessment (floor plans, Wi-Fi coverage, power, floor surfaces), SLAM environment mapping, zone configuration (operating, restricted, charging, speed zones), facility system integration (elevators, WMS, security systems), deployment scheduling, common deployment problems (glass/LIDAR interference, floor transitions, Wi-Fi dead zones), staff training, and building deployment playbooks that enable repeatable, reliable implementations.

30 Hours
8 Learning objectives
Evaluate Bloom's ceiling (?)
5 Competencies

Learning Objectives

Objectives

Depth
  • Conduct a pre-deployment site survey assessing floor plans, Wi-Fi coverage, power outlet locations, floor surface conditions, elevator access, and security considerations Apply
  • Apply SLAM environment mapping procedures — walking robots through spaces, reviewing maps for coverage gaps and LIDAR artifacts (reflective surfaces, glass walls), marking zones (operating, restricted, charging, speed) Apply
  • Analyze common deployment failure modes — glass/LIDAR interference, floor surface transitions, Wi-Fi dead zones, elevator timing issues — and implement preventive solutions for each Analyze
  • Create a deployment playbook documenting the step-by-step process from site survey through go-live, detailed enough for any field engineer to follow independently Create
  • Evaluate facility system integration requirements — elevator control APIs, WMS connections, building security and access systems, dedicated VLANs — and specify networking and infrastructure prerequisites for customer IT teams Evaluate
  • Apply deployment scheduling that includes setup, testing, staff training, soft launch with monitoring, and go-live with buffer days for issue resolution Apply
  • Create zone configurations for diverse environments — restaurant (kitchen, dining, narrow aisles), hotel (guest corridors, lobby, back-of-house, elevators), warehouse (automated aisles, collaborative zones, charging areas) — with appropriate speed, behavior, and safety settings per zone Create
  • Analyze post-deployment performance data from the first 48 hours to identify configuration adjustments needed for route optimization, speed tuning, and behavior refinement Analyze

Levels: Remember · Understand · Apply · Analyze · Evaluate · Create — highest demands most original thinking.

What You'll Master

Pre-Deployment Site Assessment

Evaluating physical spaces for robot compatibility: floor conditions, Wi-Fi coverage, power infrastructure, obstacle inventory, traffic patterns, accessibility compliance.

SLAM Mapping & Zone Configuration

Running environment mapping procedures, reviewing maps for LIDAR artifacts, configuring operational/restricted/charging/speed zones appropriate to the deployment context.

Facility Integration

Specifying and coordinating networking requirements (dedicated VLAN, port access), elevator API integration, building management system connections, and WMS/security system interfaces.

Deployment Playbook Development

Documenting repeatable deployment procedures from site survey through post-launch monitoring; building institutional knowledge from each deployment.

Deployment Troubleshooting

Diagnosing and resolving common site-specific problems (glass interference, floor transitions, Wi-Fi gaps, timing issues) with practical field solutions (reflective tape, ramps, Wi-Fi extenders, timing adjustments).

What You'll Build

Complete Deployment Plan and Playbook — Student plans a deployment for a simulated customer site (hotel with 200 rooms across 8 floors): pre-deployment site survey checklist, networking requirements document for customer IT, SLAM mapping plan with zone configuration specifications, deployment schedule (5-day timeline with daily objectives), staff training curriculum (90-minute sessions for 3 audience types), soft-launch monitoring checklist, go-live criteria, and a reusable deployment playbook. Includes a troubleshooting guide for 10 common deployment problems with diagnostic steps and solutions.

Industry Tools, Not Toy Projects

SLAM Mapping Tools

Tablet-based and robot-specific mapping tools for environment scanning and zone configuration.

Wi-Fi Analyzer

Network analysis tools for identifying coverage gaps, signal strength, and channel interference at deployment sites.

Fleet Management Platform

Freedom Robotics, InOrbit, or Formant for post-deployment monitoring and fleet health tracking.

NVIDIA Isaac Sim / Gazebo

Robotics simulation environments for pre-deployment testing and configuration validation.

Notion / Confluence

Documentation platforms for building deployment playbooks, checklists, and institutional knowledge bases.

Loom

Screen and video recording for creating staff training materials and deployment documentation.

Prerequisites

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