AI Human-Robot Interaction Project Course

Design human-robot tasks, interfaces, safety boundaries, tests, and deployment controls around a practical interaction project.
AI Human-Robot Interaction Project Course

At a glance

Duration
5 days
Format
Classroom
Cities
Istanbul, Lisbon, Kuwait, Vienna, London, Montreux and more
Next session
12 – 16 October 2026, Istanbul
Average fee
7,550 €

Overview

AI-Assisted Human-Robot Interaction Project Course is a five-day foundation course for automation engineers, robotics technicians, manufacturing engineers, maintenance professionals, project teams, and safety specialists, who leave with an AI-Assisted Human-Robot Interaction Project Design and Test Plan. Participants define tasks, allocate human and robot roles, map perception and feedback, design interfaces, establish safety boundaries, test interaction performance, and plan responsible deployment. Agile Leaders Training Center provides training in AI-assisted human-robot interaction projects.

Who Should Attend

  • Automation teams responsible for integrating people and robotic systems
  • Robotics teams responsible for interaction functions and testing
  • Manufacturing teams responsible for collaborative work design
  • Maintenance teams responsible for diagnostics and safe intervention
  • Project teams responsible for requirements, acceptance, and deployment
  • Safety teams responsible for hazards, controls, and verification

The course assumes participants contribute to automation, robotics, manufacturing, maintenance, project, or safety work and leaves out robot programming, machine-learning model development, detailed control engineering, and formal safety certification.

Departments and Industries

The course supports human-robot interaction projects across production and service environments.

  • Automation and manufacturing engineering functions
  • Robotics integration and maintenance teams
  • Automotive, electronics, and industrial production organizations
  • Warehousing, logistics, and material-handling operations
  • Healthcare technology and laboratory automation teams
  • Safety, quality, and operational excellence functions

Learning Objectives

By the end of this course, participants will be able to:

  • Apply task analysis to human-robot interaction requirements
  • Analyze perception, feedback, interface, and situation-awareness needs
  • Build human and robot role-allocation workflows
  • Evaluate collaborative hazards and safety boundaries
  • Use test metrics for interaction performance and trust
  • Build an AI-Assisted Human-Robot Interaction Project Design and Test Plan

Course Agenda

Day 1: Interaction Context and Tasks

  • Human-Robot Interaction Context Canvas
  • Collaborative Task Decomposition Method
  • Human and Robot Capability Matrix
  • Stakeholder and Operator Needs Map
  • Interaction Requirement and Constraint Register

Day 2: Perception and Interface Design

  • Perception and Situation-Awareness Map
  • Human-Machine Interface Design Checklist
  • Operator Command and Feedback Flow
  • Error, Diagnostic, and Recovery Protocol
  • Trust and Workload Indicator Set

Day 3: Task Allocation and Safety

  • Human-Robot Role Allocation Matrix
  • Collaborative Workspace and Zone Map
  • Task-Based Hazard Assessment
  • Speed, Separation, Force, and Stop Control Review
  • Safety Boundary and Escalation Register

Day 4: Testing and Deployment

  • Interaction Test Scenario Library
  • Objective and Subjective Metric Scorecard
  • Operator Observation and Feedback Sheet
  • Failure Mode and Corrective Action Log
  • Responsible Deployment and Change-Control Plan

Day 5: Human-Robot Interaction Project Practice

  • Suggested Exercise: Decompose a Collaborative Task
  • Suggested Exercise: Design an Operator Interface and Feedback Flow
  • Suggested Exercise: Assess Hazards and Safety Boundaries
  • Suggested Exercise: Build Interaction Test Scenarios and Metrics
  • Capstone Exercise: AI-Assisted Human-Robot Interaction Project Design and Test Plan

Practical Exercises

The course uses suggested activities that convert interaction needs into a reviewable human-robot project plan.

  • Suggested activity: map a manufacturing or logistics task, participant roles, constraints, perception needs, and operator decisions
  • Suggested activity: design commands, feedback, diagnostics, recovery routes, and situation-awareness cues
  • Suggested activity: assess contact, tooling, workspace, separation, force, stop, and escalation controls
  • Suggested activity: define test scenarios, performance measures, observation records, acceptance criteria, and change controls

FAQs

Who suits AI-assisted human-robot interaction project training?

AI-assisted human-robot interaction project training suits automation, robotics, manufacturing, maintenance, project, and safety teams. It assumes experience with operational processes and requires no robot programming or machine-learning development.

How does human-robot interaction project training differ from robotics programming training?

Human-robot interaction project training focuses on tasks, roles, interfaces, operator feedback, safety, testing, and deployment. Robotics programming training focuses on code, motion control, software integration, and technical implementation.

What makes a human-robot interaction task collaborative?

A collaborative task intentionally assigns complementary work to people and robots within a defined interaction process, with clear commands, feedback, workspace boundaries, safety controls, recovery routes, and performance measures.

How is human-robot interaction performance tested?

Human-robot interaction performance is tested through defined scenarios and objective and subjective measures covering task success, timing, errors, operator effort, situation awareness, interface clarity, trust, diagnostics, and recovery.

What belongs in an AI-Assisted Human-Robot Interaction Project Design and Test Plan?

The plan includes context, tasks, roles, requirements, perception, interfaces, feedback, hazards, safety boundaries, test scenarios, metrics, acceptance criteria, responsibilities, deployment controls, and change records.

Conclusion

Participants take back an AI-Assisted Human-Robot Interaction Project Design and Test Plan connecting tasks, interfaces, safety, testing, and deployment. The plan makes roles, assumptions, controls, measures, and acceptance decisions visible across teams. It supports traceable design choices, safer interaction trials, and structured improvement before operational use.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 41-58 of 58 events
Image Location Dates Duration Mode Price Actions
Jakarta Jakarta Week 27, 2027
5 – 9 July 2027
5 Days Onsite €8,000
Geneva Geneva Week 27, 2027
11 – 15 July 2027
5 Days Onsite €8,000
Nairobi Nairobi Week 27, 2027
11 – 15 July 2027
5 Days Onsite €6,000
Zanzibar Zanzibar Week 28, 2027
18 – 22 July 2027
5 Days Onsite €6,000
Doha Doha Week 29, 2027
25 – 29 July 2027
5 Days Onsite €7,000
Cape town Cape town Week 31, 2027
8 – 12 August 2027
5 Days Onsite €6,000
Rome Rome Week 32, 2027
9 – 13 August 2027
5 Days Onsite €6,500
Singapore Singapore Week 33, 2027
16 – 20 August 2027
5 Days Onsite €6,500
Kuala Lumpur Kuala Lumpur Week 34, 2027
23 – 27 August 2027
5 Days Onsite €6,500
Abu Dhabi Abu Dhabi Week 34, 2027
23 – 27 August 2027
5 Days Onsite €6,500
Chicago Chicago Week 35, 2027
5 – 9 September 2027
5 Days Onsite €16,000
Dubai Dubai Week 36, 2027
6 – 10 September 2027
5 Days Onsite €6,500
Johannesburg Johannesburg Week 36, 2027
12 – 16 September 2027
5 Days Onsite €6,000
Baku Baku Week 37, 2027
13 – 17 September 2027
5 Days Onsite €8,000
Phuket Phuket Week 37, 2027
19 – 23 September 2027
5 Days Onsite €8,000
Milan Milan Week 38, 2027
20 – 24 September 2027
5 Days Onsite €7,000
San Diego San Diego Week 39, 2027
27 September – 1 October 2027
5 Days Onsite €16,000
Tokyo Tokyo Week 40, 2027
4 – 8 October 2027
5 Days Onsite €12,000

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Human-Robot Interaction Project Course is a five-day foundation course for automation engineers, robotics technicians, manufacturing engineers, maintenance professionals, project teams, and safety specialists, who leave with an AI-Assisted Human-Robot Interaction Project Design and Test Plan. Participants define tasks, allocate human a…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

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