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Robotics Automation & Intelligent Control Systems Training Course

Covers integrating robots, sensors, actuators and AI into automation architectures with intelligent control that lifts industrial and operational performance.

AIRP · AI Robotics & Intelligent SystemsAll Levels#2117ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

This advanced training course provides a comprehensive understanding of robotics automation and intelligent control systems, focusing on the integration of robotic technologies, automation architectures, control engineering, artificial intelligence, sensing, and real-time decision-making to improve industrial and operational performance. The program explores the architecture and operation of automated robotic systems, including robotic manipulators, sensors, actuators, programmable control systems, motion control, industrial communication, feedback systems, and intelligent control strategies. Participants will examine how these technologies work together to deliver accurate, reliable, and efficient automated operations. Particular emphasis is placed on intelligent control methods that enable robotic systems to respond dynamically to changing operating conditions. The course addresses adaptive control, feedback control, motion optimization, machine vision, sensor integration, predictive maintenance, human-robot collaboration, and the use of AI to enhance automated decision-making. Through practical exercises, control-system workshops, industrial case studies, and an integrated final project, participants will develop the ability to design, integrate, troubleshoot, evaluate, and optimize robotics automation and intelligent control solutions for manufacturing, energy, oil and gas, logistics, maintenance, and other industrial environments.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Understand the principles and architecture of robotics automation systems.
  • Analyze the components and functions of intelligent robotic control systems.
  • Design automation architectures integrating robots, sensors, actuators, and control systems.
  • Apply feedback and closed-loop control principles to robotic applications.
  • Configure motion-control strategies for automated robotic operations.
  • Integrate sensors and machine vision into robotic control systems.
  • Apply intelligent and adaptive control techniques to changing operating conditions.
  • Implement industrial communication and system-integration concepts.
  • Diagnose control, automation, and robotic system faults.
  • Apply predictive maintenance and performance-monitoring techniques.
  • Evaluate safety, cybersecurity, reliability, and human-robot interaction requirements.
  • Develop strategies for optimizing and improving automated robotic operations.

Who Should Attend

This course is designed for Robotics Engineers, Automation Engineers, Control Engineers, Electrical and Mechanical Engineers, Instrumentation Engineers, Mechatronics Engineers, Software Engineers, Systems Engineers, and technical professionals involved in industrial automation and robotics. It is also suitable for Engineering Managers, Maintenance Managers, Operations Managers, Digital Transformation Professionals, Project Managers, Industrial Automation Specialists, and technical leaders responsible for implementing or optimizing robotic automation and control systems. The program is particularly relevant to organizations seeking to improve automated production, robotic operations, process control, inspection, material handling, maintenance, and operational efficiency through intelligent control technologies.

Learning Outcomes

  • Upon completion of the course, participants will be able to:
  • Assess robotics automation architectures against operational requirements.
  • Identify and configure key components of robotic control systems.
  • Design control architectures integrating sensors, actuators, robots, and automation platforms.
  • Apply feedback and closed-loop control principles to robotic operations.
  • Develop motion-control and trajectory-management strategies.
  • Integrate machine vision and sensor data into robotic control processes.
  • Apply adaptive and intelligent control approaches to dynamic operating conditions.
  • Implement industrial communication and system-integration methods.
  • Diagnose and troubleshoot robotic automation and control-system failures.
  • Monitor system performance and identify opportunities for optimization.
  • Apply safety, cybersecurity, reliability, and human-robot collaboration principles.
  • Develop an improvement roadmap for robotics automation and intelligent control systems.

Course Outline

Course Outline

Day 1

Robotics Automation Architecture & Industrial Control Fundamentals

  • Fundamentals of robotics automation
  • Evolution of industrial robotics and intelligent automation
  • Robotic system architectures
  • Industrial robots and robotic manipulators
  • Sensors, actuators, and automation components
  • Programmable control systems
  • Industrial controllers and control architectures
  • Automation system integration
  • Real-time control concepts
  • Industrial applications of robotics automation
  • Practical Application: Designing an automation architecture for an industrial robotic application
Day 2

Robotic Motion Control, Feedback & Sensor Integration

  • Fundamentals of robotic motion control
  • Open-loop and closed-loop control
  • Feedback control systems
  • Position, velocity, and torque control
  • Robotic kinematics and motion coordination
  • Trajectory planning
  • Sensors and measurement systems
  • Sensor calibration and signal processing
  • Sensor fusion for robotic control
  • Machine vision for automated robotics
  • Practical Workshop: Developing a feedback-control and sensor-integration strategy for a robotic system
Day 3

Intelligent & Adaptive Control Systems

  • Principles of intelligent control
  • Adaptive control concepts
  • AI-assisted control systems
  • Machine Learning applications in control
  • Rule-based and model-based control
  • Dynamic system response
  • Real-time decision-making
  • Autonomous control and task execution
  • Performance optimization and control tuning
  • Predictive control and condition-based automation
  • Practical Application: Designing an intelligent control strategy for a robotic system operating under changing conditions
Day 4

Industrial Integration, Troubleshooting & Reliability

  • Industrial communication protocols and networks
  • Integration of robots with automation systems
  • Human-machine interfaces
  • Robotics and enterprise system integration
  • Control-system diagnostics
  • Fault detection and troubleshooting
  • Failure analysis for robotic systems
  • Condition monitoring and predictive maintenance
  • System reliability and availability
  • Functional safety and cybersecurity
  • Practical Workshop: Diagnosing and resolving control and automation failures in a robotic production system
Day 5

Optimization, Smart Automation & Implementation Strategy

  • Smart robotics and intelligent automation
  • AI-enabled robotic optimization
  • Energy and resource optimization
  • Performance monitoring and analytics
  • Digital connectivity and industrial data
  • Human-robot collaboration
  • Scaling robotic automation across operations
  • System lifecycle and continuous improvement
  • Measuring productivity, reliability, and operational performance
  • Robotics automation implementation strategy
  • Final Integrated Workshop: Developing an end-to-end robotics automation and intelligent control improvement roadmap covering system architecture, sensors, actuators, control strategies, communication, AI integration, safety, cybersecurity, reliability, performance optimization, and continuous improvement.

Upcoming Dates

Selected date

Geneva · 28 Dec 2026 – 1 Jan 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
AmmanScheduled
27 – 31 Dec 2026€4,000€3,600until 7 Dec
OnlineScheduled
27 – 31 Dec 2026€2,700€2,430until 7 Dec
DubaiScheduled
27 – 31 Dec 2026€4,700€4,230until 7 Dec
IstanbulScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
ZurichScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
ViennaScheduled
28 Dec 2026 – 1 Jan 2027€6,400€5,760until 7 Dec
ParisScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
MarrakeshScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
AmsterdamScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
FrankfurtScheduled
28 Dec 2026 – 1 Jan 2027€6,200€5,580until 7 Dec
SalalahScheduled
28 Dec 2026 – 1 Jan 2027€6,300€5,670until 7 Dec
MakkahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
DohaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
RabatScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
MilanScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
LondonScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
MunichScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
MuscatScheduled
28 Dec 2026 – 1 Jan 2027€6,300€5,670until 7 Dec
CasablancaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
RomeScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
DammamScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
MadridScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
BarcelonaScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
BangkokScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
GenevaScheduled
28 Dec 2026 – 1 Jan 2027€7,300€6,570until 7 Dec
CairoScheduled
28 Dec 2026 – 1 Jan 2027€3,800€3,420until 7 Dec
LisbonScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
MadinahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
ManamaScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
Kuala LumpurScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec

Available in: Istanbul · Dubai · London · Doha · Amsterdam

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