Three days of hands‑on industrial robotics

When
September 1–3, 2027
Where
#2-025 Solarium East, ETLCUniversity of Alberta, Edmonton

A shared training platform where learners build deployment-ready robotics capabilities through direct practice, from foundations to a final challenge festival.

3
days, September 1–3
5
hands-on lab rotations
4
challenge tracks
4
partner institutions

Overview

Why this bootcamp is needed

Industrial automation is moving beyond isolated robotic cells toward connected, intelligent, and human-centered systems. Alberta needs people who understand not only robot programming, but also sensing, AI, mobile robotics, digital twins, safety, ergonomics, and integrating people with automated systems. The bootcamp creates a shared training platform where learners can build those capabilities through direct practice.

Bridge theory and practice

Bridge the gap between classroom theory and deployment-ready robotics skills.

One shared training environment

Create a common training environment across Alberta’s post-secondary robotics ecosystem.

Broad platform exposure

Expose participants to multiple robot classes, software environments, sensing technologies, and application domains.

Human-centered skills

Develop human-centered automation skills aligned with Industry 5.0 principles: collaboration, resilience, sustainability and intelligence.

Stronger pathways

Strengthen pathways between students, researchers, technical professionals, employers and startup innovators.

Real industrial challenges

Enable applied, team-based problem solving around real industrial challenges in manufacturing, construction, energy, logistics, healthcare, agriculture and automation.

How the bootcamp works

The three-day program progresses from foundations to system diversity and finally to an experiential challenge festival. Participants learn core concepts, work directly with robots and simulation tools, rotate through specialized stations, then integrate their learning in a final challenge with technical deliverables and a short presentation.

  1. Before

    Pre-event

    Registration, experience survey, safety requirements, software setup instructions and team-interest selection.

  2. Day 1

    Foundations

    A common technical foundation and a baseline hands-on challenge.

  3. Day 2

    Rotations

    Equipment rotations to broaden platform exposure and build confidence.

  4. Day 3

    Challenge festival

    A focused challenge track, mentorship, demonstration and presentation.

  5. After

    Post-event

    Certificate, resource pack, feedback survey, networking follow-up and optional pathways to internships, research projects or advanced training.

Core learning pillars

01

Robotics

Kinematics, TCPs, motion, workcells

02

Intelligence

AI, vision, sensing, data fusion

03

Collaboration

Cobots, ergonomics, safety, human-centered design

04

Deployment

Simulation, digital twins, integration, optimization

Platforms you’ll work with

Each partner brings equipment from its own labs. Exact models and station assignments will be confirmed closer to the event.

Industrial 6-DOF robots

Path programming, TCP, tool changing and palletizing.

Rotation A · University of Alberta

Collaborative robots

Force control, safety zones and hand-guiding.

Rotation B · SAIT

Collaborative welding

Process concepts, programming workflow and guided teach-through.

Rotation C · Red Deer Polytechnic

Mobile robots and LiDAR

UGV navigation, collision avoidance and autonomous navigation with point clouds.

Day 1 and Rotation D · NAIT

AI vision and inspection

Object detection, scene understanding and AI-driven inspection.

Day 1 · NAIT

Simulation and digital twins

Virtual programming and human–robot workcell design.

Day 2 · industry partner

Learning outcomes

By the end of the bootcamp, participants will be able to:

  • Explain key Industry 5.0 and intelligent robotics concepts and their relationship to human-centered automation.
  • Apply forward and inverse kinematics concepts to practical robot positioning and motion tasks.
  • Program and safely operate industrial and collaborative robot platforms in guided exercises.
  • Use 2D/3D vision, sensing, and basic AI workflows for perception-driven robotic tasks.
  • Understand AMR/AGV navigation concepts including mapping, SLAM, obstacle avoidance, and coordination.
  • Use simulation or digital-twin tools to prototype robot workcells and validate programming concepts.
  • Integrate robotics, sensing, and human factors into a team solution and communicate technical reasoning.

Who the bootcamp is for

The bootcamp is designed for a mixed cohort so that technical learning is reinforced by cross-sector exchange and collaborative problem solving.

Industry professionals

In manufacturing, construction, energy, oil and gas, logistics and related automation-intensive sectors.

Post-secondary students

In engineering, engineering technology, computing, applied sciences and skilled technical programs.

Researchers & educators

Faculty members, laboratory staff and technical instructors working in robotics, AI, controls, mechatronics or automation.

Startup founders & innovators

Product developers and innovators building robotics-enabled products or services.

Industry partners & leaders

Technology providers and technical leaders interested in talent development, applied research and demonstration opportunities.

3-day agenda

The following agenda provides a complete planning framework: exact speakers, equipment assignments and station capacities will be confirmed during partner planning. All times are Mountain Time.

DAY 1

Foundations, Kinematics & Intelligent Perception

Afternoon
TimeSession / ActivityLead
Morning
8:00–8:45 amRegistration, breakfast & lab safety check-inAll partners
8:45–9:15 amWelcome, land acknowledgment, partner introductions & bootcamp orientationUniversity of Alberta
9:15–10:00 amOpening keynote: Human–Robot Synergy for the Industrial Robotics EraUAlberta / Industry keynote
10:00–10:15 amBreak
10:15–11:00 amIndustry 5.0 foundations: human-centric automation, resilience, sustainability, intelligence & collaborationUniversity of Alberta
11:00 am–12:15 pmIndustrial & collaborative robot fundamentals: robot anatomy, frames, joints, DOF and workspace. Kinematics for robotics: forward/inverse kinematics and singularities with live examplesUniversity of Alberta
12:15–1:00 pmLunch & networkingAll
Afternoon
1:00–2:15 pmRotation A: Industrial 6-DOF robots (path programming, TCP, tool changing, palletizing)University of Alberta
2:15–2:30 pmBreak / transition
2:30–3:30 pmAI for robotics: object detection and scene understandingNAIT
3:30–4:15 pmAI-driven inspection and detection systemsNAIT
4:15–5:15 pmUGV navigation in a simulated environmentNAIT
5:15–5:30 pmDay 1 debrief, learning check & Day 2 briefingProgram leads
DAY 2

Robot Diversity, Simulation & Intelligent Automation

Afternoon
TimeSession / ActivityLead
Morning
8:00–8:20 amArrival, coffee & safety briefingHost team
8:20–8:30 amDay 2 orientation and station assignmentsProgram lead
8:30–10:30 amRotation B: Collaborative robots (force control, safety zones, hand-guiding)SAIT
10:30 am–12:30 pmRotation C: Collaborative welding robotics (process concepts, programming workflow, guided teach-through and demonstration)Red Deer Polytechnic
12:30–1:15 pmLunch & industry technology showcaseAll / Industry
Afternoon
1:15–2:30 pmRotation D: Collision avoidance and autonomous navigation using LiDAR point cloudsNAIT
2:30–3:15 pmRotation E: Humanoid / emerging robotics demonstration (subject to host equipment)To be announced
3:15–3:30 pmBreak
3:30–4:30 pmSimulation-based learning: virtual programming, digital twins and human–robot workcell designIndustry partner (to be announced)
4:30–5:30 pmRobot programming challenge (simulation)Industry partner (to be announced)
5:30–5:45 pmDebrief & Challenge Festival team formationProgram leads
DAY 3

Experiential Challenge Festival & Showcase

Afternoon
TimeSession / ActivityLead
Morning
8:00–8:30 amArrival, team setup & mentor check-inAll partners
8:30–9:00 amChallenge briefings, judging criteria, safety gates & deliverables, team formationChallenge leads
9:00–10:30 am 4 Parallel Challenges (details) Challenge leads (per track)
10:30–10:45 amBreak
10:45 am–12:15 pm4 Parallel Challenges continueAll
12:15–1:00 pmLunch & mentor office hoursAll
Afternoon
1:00–2:30 pm4 Parallel Challenges continueAll
2:30–3:00 pmPitch preparationTeams
3:00–4:15 pmFinal demonstrations and team presentationsJudging panel
4:15–4:30 pmJudging deliberation & participant reflectionJudges / Program leads
4:30–5:00 pmIndustrial Robotics Awards & certificate distribution, closingAll partners
Day 3 · Experiential Challenge Festival · Fri, Sept 3

Four parallel challenge tracks

Build it, demonstrate it, present it.

Teams integrate everything from Days 1 and 2 into a working robot solution, then demonstrate and present it to a judging panel.

How the day runs

  1. Challenge briefings, judging criteria, safety gates & deliverables, team formation
  2. 4 parallel challenges, 9:00 am–2:30 pm with breaks and lunch
  3. Pitch preparation
  4. Final demonstrations and team presentations
  5. Judging deliberation & participant reflection
  6. Industrial Robotics Awards & certificate distribution, closing

The four challenge tracks

01

Industrial Robotics Challenge

LeadUniversity of Alberta
ObjectiveBuild and optimize a robotic workcell for a real task.
Example tasksPrecision pick-and-place; robotic welding simulation; toolpath optimization.
Judging
AccuracyCycle timeSafetyInnovation
02

Collaborative Robot Challenge

LeadSAIT
ObjectiveProgram a cobot to work safely and effectively with a human operator.
Example tasksForce-limited assembly; shared hand-guiding; ergonomic workstation redesign.
Judging
Collaboration qualitySafety designUser experience
03

Mobile Robotics Inspection Challenge

LeadNAIT
ObjectiveProgram an AMR/UGV to navigate and perform inspection in a dynamic environment.
Example tasksMap creation / SLAM; obstacle avoidance; coordination concepts; sensor and camera-based inspection.
Judging
TimePath efficiencyRobustness
04

Vision & AI Robotics Challenge

LeadRed Deer Polytechnic
ObjectiveCombine a robot and AI-enabled vision system to solve a detection or sorting problem.
Example tasks2D/3D localization; color/shape sorting; QR tracking; AI-assisted grasping.
Judging
AccuracyInnovationAutomation level

Final presentation requirements

  1. 1

    Explain

    A concise explanation of the team’s robot solution and design intent.

  2. 2

    Demonstrate

    A live or recorded demonstration of the working system.

  3. 3

    Justify

    Technical reasoning: programming, sensing, safety, integration, and trade-offs.

  4. 4

    Show impact

    A clear statement of how the solution improves human–robot collaboration, productivity, safety, or sustainability.

Award categories

  • 01Most Innovative Solution
  • 02Best Use of AI & Vision

Awards and certificates are presented at the Day 3 closing ceremony.

Registration is open

Reserve your place at the inaugural bootcamp

September 1–3, 2027 · University of Alberta, Edmonton · Questions? Contact the organizers

Register now