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Robotics

Foundations to AI-driven industrial robotics.

A comprehensive, industry-aligned robotics program covering the full spectrum from foundational theory to advanced AI integration. Learners develop professional competency in kinematics, control systems, ROS2, motion planning, sensors, simulation and intelligent automation — for real-world industrial and research roles.

145 hours
11 modules
Cohort-based · flexible batches

Pricing is set per cohort and organisation — Talk to us.

Robotics — Nebula KnowLab

Outcomes

What you'll be able to do

Concrete, demonstrable skills — the kind you can show in an interview or put to work on day one.

Design and evaluate robotic systems using kinematics, control theory and motion planning

Program and manage robots with ROS2 for industrial and research applications

Implement sensor fusion, machine vision and LiDAR-based perception

Deploy and test robots in industry-standard simulators like Gazebo and RoboDK

Integrate AI and machine learning — including reinforcement learning — into robotic control

Curriculum

The modules

Sequenced to build on each other. Each module is a first-class unit — the same ones our AI recommender draws on to map a personalised track.

11

modules

145

hours total

01
Beginner

Fundamentals of Robotics

Robot components, degrees of freedom, classification types, industrial and collaborative robotics, the robotics ecosystem, mobile robot categories, AI-enabled robots, and building an automation strategy aligned to ROI.

13.5 hoursRobotics
02
Beginner

Robot Kinematics and Selection

Coordinate systems, forward and inverse kinematics, workspace analysis, joint configurations, payload and reach analysis, and a framework for selecting the right robot for any application.

13.5 hoursRobotics
03
Beginner

Control Foundations and Motion Execution

Control system fundamentals, industrial and open-source controllers, actuator types, servo systems, open- vs. closed-loop control, and PID control for motion tuning.

13.5 hoursRobotics
04
Intermediate

ROS2 Ecosystem and Robot Software

Comprehensive coverage of ROS2 — architecture and core concepts, tools and usage patterns, and advanced control techniques for programming robot systems.

13.5 hoursRobotics
05
Intermediate

Motion Planning and Object Manipulation

Trajectory generation, velocity profiling, obstacle avoidance, collision detection, grasping strategies, gripper types, pick-and-place planning and coordinated multi-axis motion.

13 hoursRobotics
06
Intermediate

Robotics Hardware and System Integration

Robotics hardware components, system-level integration practices, and end-effector design and tool-changer systems for flexible robotic setups.

13 hoursRobotics
07
Intermediate

Sensors, Vision, and Perception

Proximity, distance and force sensors, 2D/3D cameras, stereo vision, calibration and fusion, machine vision for detection and tracking, LiDAR, ultrasonic and tactile sensing.

13 hoursRobotics
08
Advanced

Industrial Implementation of Robotics

Real-world deployment — load management, EOAT design and gripper selection, layout optimization, sequence planning, safety measures and cycle-time calculation.

13 hoursRobotics
09
Advanced

Mobile Robots and Intelligent Platforms

Differential and omni-directional drive, AGV path following, quadruped and humanoid robotics, SLAM-based localization and mapping, battery management and fleet control.

13 hoursRobotics
10
Advanced

Robotics Simulation

Simulation with RViz, Gazebo, RoboDK and V-REP — debugging, sensor visualization, virtual testing, launching robots in simulation and industrial simulation workflows.

13 hoursRobotics
11
Advanced

Artificial Intelligence in Robotics

Integrating AI and ML with robotics — cloud and IoT, AI with ROS and edge devices, local server processing, reinforcement learning, sensor fusion and AI-driven data management.

13 hoursRobotics

Questions

Good to know

Still wondering about something? Ask us directly in the enquiry form below.

Is this beginner-friendly?

It starts from true fundamentals and builds to advanced AI integration over 145 hours — so beginners are welcome, and experienced learners can go deep.

Is it hands-on with real hardware?

Yes — it's industry-aligned and built around real robotic systems, simulation tools and PLC hardware, not slideware.

Enquire

Talk to us — we'll help you choose.

Tell us where you're starting from and what you want to build. We'll walk you through the cohort, the lab, and whether this is the right first step — or point you somewhere better.

  • A real reply from our team — never a bot wall.
  • Honest guidance on fit, prerequisites and timing.
  • Cohort dates and how the hands-on lab time works.

By submitting you agree to our privacy policy. We never share your details.

Ready to startbuilding?

Enquire about this course, book a demo, or let our AI map your perfect track. The lab is open.