Three days of hands‑on industrial robotics
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.
- Before
Pre-event
Registration, experience survey, safety requirements, software setup instructions and team-interest selection.
- Day 1
Foundations
A common technical foundation and a baseline hands-on challenge.
- Day 2
Rotations
Equipment rotations to broaden platform exposure and build confidence.
- Day 3
Challenge festival
A focused challenge track, mentorship, demonstration and presentation.
- After
Post-event
Certificate, resource pack, feedback survey, networking follow-up and optional pathways to internships, research projects or advanced training.
Core learning pillars
Robotics
Kinematics, TCPs, motion, workcells
Intelligence
AI, vision, sensing, data fusion
Collaboration
Cobots, ergonomics, safety, human-centered design
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 AlbertaCollaborative robots
Force control, safety zones and hand-guiding.
Rotation B · SAITCollaborative welding
Process concepts, programming workflow and guided teach-through.
Rotation C · Red Deer PolytechnicMobile robots and LiDAR
UGV navigation, collision avoidance and autonomous navigation with point clouds.
Day 1 and Rotation D · NAITAI vision and inspection
Object detection, scene understanding and AI-driven inspection.
Day 1 · NAITSimulation and digital twins
Virtual programming and human–robot workcell design.
Day 2 · industry partnerLearning 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.
| Time | Session / Activity | Lead |
|---|---|---|
| Morning | ||
| 8:00–8:45 am | Registration, breakfast & lab safety check-in | All partners |
| 8:45–9:15 am | Welcome, land acknowledgment, partner introductions & bootcamp orientation | University of Alberta |
| 9:15–10:00 am | Opening keynote: Human–Robot Synergy for the Industrial Robotics Era | UAlberta / Industry keynote |
| 10:00–10:15 am | Break | |
| 10:15–11:00 am | Industry 5.0 foundations: human-centric automation, resilience, sustainability, intelligence & collaboration | University of Alberta |
| 11:00 am–12:15 pm | Industrial & collaborative robot fundamentals: robot anatomy, frames, joints, DOF and workspace. Kinematics for robotics: forward/inverse kinematics and singularities with live examples | University of Alberta |
| 12:15–1:00 pm | Lunch & networking | All |
| Afternoon | ||
| 1:00–2:15 pm | Rotation A: Industrial 6-DOF robots (path programming, TCP, tool changing, palletizing) | University of Alberta |
| 2:15–2:30 pm | Break / transition | |
| 2:30–3:30 pm | AI for robotics: object detection and scene understanding | NAIT |
| 3:30–4:15 pm | AI-driven inspection and detection systems | NAIT |
| 4:15–5:15 pm | UGV navigation in a simulated environment | NAIT |
| 5:15–5:30 pm | Day 1 debrief, learning check & Day 2 briefing | Program leads |
| Time | Session / Activity | Lead |
|---|---|---|
| Morning | ||
| 8:00–8:20 am | Arrival, coffee & safety briefing | Host team |
| 8:20–8:30 am | Day 2 orientation and station assignments | Program lead |
| 8:30–10:30 am | Rotation B: Collaborative robots (force control, safety zones, hand-guiding) | SAIT |
| 10:30 am–12:30 pm | Rotation C: Collaborative welding robotics (process concepts, programming workflow, guided teach-through and demonstration) | Red Deer Polytechnic |
| 12:30–1:15 pm | Lunch & industry technology showcase | All / Industry |
| Afternoon | ||
| 1:15–2:30 pm | Rotation D: Collision avoidance and autonomous navigation using LiDAR point clouds | NAIT |
| 2:30–3:15 pm | Rotation E: Humanoid / emerging robotics demonstration (subject to host equipment) | To be announced |
| 3:15–3:30 pm | Break | |
| 3:30–4:30 pm | Simulation-based learning: virtual programming, digital twins and human–robot workcell design | Industry partner (to be announced) |
| 4:30–5:30 pm | Robot programming challenge (simulation) | Industry partner (to be announced) |
| 5:30–5:45 pm | Debrief & Challenge Festival team formation | Program leads |
| Time | Session / Activity | Lead |
|---|---|---|
| Morning | ||
| 8:00–8:30 am | Arrival, team setup & mentor check-in | All partners |
| 8:30–9:00 am | Challenge briefings, judging criteria, safety gates & deliverables, team formation | Challenge leads |
| 9:00–10:30 am | 4 Parallel Challenges (details)
|
Challenge leads (per track) |
| 10:30–10:45 am | Break | |
| 10:45 am–12:15 pm | 4 Parallel Challenges continue | All |
| 12:15–1:00 pm | Lunch & mentor office hours | All |
| Afternoon | ||
| 1:00–2:30 pm | 4 Parallel Challenges continue | All |
| 2:30–3:00 pm | Pitch preparation | Teams |
| 3:00–4:15 pm | Final demonstrations and team presentations | Judging panel |
| 4:15–4:30 pm | Judging deliberation & participant reflection | Judges / Program leads |
| 4:30–5:00 pm | Industrial Robotics Awards & certificate distribution, closing | All partners |
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
- Challenge briefings, judging criteria, safety gates & deliverables, team formation
- 4 parallel challenges, 9:00 am–2:30 pm with breaks and lunch
- Pitch preparation
- Final demonstrations and team presentations
- Judging deliberation & participant reflection
- Industrial Robotics Awards & certificate distribution, closing
The four challenge tracks
Collaborative Robot Challenge
Mobile Robotics Inspection Challenge
Vision & AI Robotics Challenge
Final presentation requirements
- 1
Explain
A concise explanation of the team’s robot solution and design intent.
- 2
Demonstrate
A live or recorded demonstration of the working system.
- 3
Justify
Technical reasoning: programming, sensing, safety, integration, and trade-offs.
- 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.