Thursday, September 3, 2026

Robotics Automation Related useful links.

 

1. ๐Ÿค– Robotics — Major Companies

Industrial robotics is increasingly converging with AI/physical AI, with major robotics companies using AI platforms for manipulation, perception and autonomous systems.

2. ๐Ÿญ Industrial Robotics

Important applications:

  • Assembly
  • Welding
  • Painting
  • Packaging
  • Pick & Place
  • Material Handling
  • Palletizing
  • Inspection
  • Machine Tending
  • Automotive Manufacturing

3. ๐Ÿฆพ Collaborative Robots — Cobots

Universal Robots, for example, is combining cobots with NVIDIA Isaac technologies for AI-enabled perception and adaptive manipulation.

4. ๐Ÿง‘‍๐Ÿ’ป RPA — Robotic Process Automation

Agar "Robotic Automation" se aapka matlab office/software automation bhi hai, to ye category important hai.

UiPath's current RPA platform focuses on automating repetitive, high-volume work across modern and legacy applications.

5. ๐Ÿง  ROS / Robot Operating System

ROS/ROS 2 is one of the most important software ecosystems to learn for robotics development.

Open Robotics maintains open robotics platforms including ROS, ros-controls, Gazebo and Open-RMF.

6. ๐Ÿงฉ ROS 2

Learn:

Nodes → Topics → Services → Actions → Parameters → TF2 → URDF → ros2_control → Navigation → Sensors

7. ๐Ÿฆฟ MoveIt — Robot Manipulation

MoveIt 2 provides motion planning, manipulation, kinematics, control and 3D perception capabilities for ROS 2.

8. ๐ŸŒ Gazebo — Robot Simulation

Gazebo is widely used in the ROS ecosystem for physics-based robot simulation and testing.

9. ๐Ÿฅฝ NVIDIA Robotics / Physical AI

This is particularly important for the AI + Robotics direction.

NVIDIA Isaac currently combines simulation, robot learning, CUDA-accelerated libraries and AI models for robot arms, AMRs, manipulators and humanoids.

10. ๐Ÿš€ NVIDIA Isaac ROS

Isaac ROS provides CUDA-accelerated ROS 2 packages and AI models for perception, navigation and manipulation.

11. ๐Ÿงช Robotics Simulation

12. ๐Ÿง  AI + Robotics

Important technologies:

Computer Vision + Deep Learning + Reinforcement Learning + Imitation Learning + Vision-Language-Action Models + Foundation Models + Robot Learning

13. ๐Ÿ‘️ Robot Computer Vision

Applications:

  • Object Detection
  • Object Tracking
  • Depth Estimation
  • Pose Estimation
  • 3D Vision
  • Visual Inspection
  • Object Recognition
  • Visual Servoing

14. ๐Ÿ“ท Robotics Sensors

15. ๐Ÿ—บ️ SLAM / Localization / Navigation

Learn:

SLAM → Localization → Mapping → Path Planning → Obstacle Avoidance → Navigation

16. ๐Ÿšš Autonomous Mobile Robots — AMR

NVIDIA's current Isaac platform specifically targets AMRs that need perception, localization and operation in less-structured environments.

17. ๐Ÿฆฟ Robot Arms / Manipulators

18. ๐Ÿง Humanoid Robotics

Physical AI and humanoid robotics are currently major areas of investment, with NVIDIA's 2026 robotics ecosystem including companies such as Figure, Agility, Apptronik, Unitree and others.

19. ๐Ÿง  Robot Learning / Reinforcement Learning

20. ๐Ÿงฐ Robotics Programming

Python

C++

ROS

MATLAB

LabVIEW

21. ⚙️ PLC / Industrial Automation

Agar aap factory automation + robotics mein jaana chahte ho, PLC knowledge bahut useful hai.

Important:

PLC → HMI → SCADA → Industrial Ethernet → Motion Control → Robotics → MES

22. ๐Ÿญ SCADA / HMI / Industrial Software

23. ๐ŸŒ Industrial IoT / IIoT

24. ๐Ÿš Drones / Autonomous Systems

25. ๐Ÿงช Robotics Middleware / Tools

26. ๐ŸŽ“ Robotics Learning

27. ๐Ÿ“š Robotics Research

28. ๐Ÿ† Robotics Competitions / Projects

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