ZadeNor AI
ZadeNor AI
Back to Blog
Robotics & Automation

Open-Source Software Is Starting to Help Robots Think

May 23, 2026
5 min
964 views
By ZadeNor AI Team
Open-Source Software Is Starting to Help Robots Think

Open-Source Software Is Starting to Help Robots Think

The Open-Source Revolution in Robotics

The world of robotics has long been dominated by proprietary systems and expensive, custom-built solutions. However, a new wave of open-source innovation is changing the game, making it possible for anyone to build and program their own robots. This revolution is being driven by a combination of advances in artificial intelligence, machine learning, and the increasing availability of open-source software and hardware.

The Rise of Open-Source Robotics

Open-source robotics software has been around since the mid-1990s, but it wasn't until the launch of the Robot Operating System (ROS) in 2007 that the field really took off. ROS is a software framework that provides a common infrastructure for building and programming robots, allowing developers to focus on the high-level tasks of robotics without worrying about the underlying details.

ROS has been a game-changer for the robotics community, making it possible for researchers and developers to share code, collaborate on projects, and build on each other's work. The ROS community has grown rapidly, with thousands of developers contributing to the project and creating a vast array of tools and libraries for building and programming robots.

The Impact of Open-Source Robotics

The impact of open-source robotics has been significant, making it possible for a wide range of applications and industries to adopt robotics technology. From manufacturing and logistics to healthcare and education, open-source robotics has opened up new possibilities for innovation and improvement.

One of the key benefits of open-source robotics is the ability to customize and tailor solutions to specific needs and applications. With open-source software and hardware, developers can create robots that are tailored to their specific requirements, making it possible to solve complex problems and improve efficiency.

The Role of AI and Machine Learning

Artificial intelligence (AI) and machine learning (ML) have played a critical role in the development of open-source robotics. AI and ML have made it possible to create robots that can learn and adapt to new situations, allowing them to perform complex tasks and interact with their environment in a more sophisticated way.

The use of AI and ML in robotics has also made it possible to create robots that can operate in a more autonomous way, making decisions and taking actions without the need for human intervention. This has opened up new possibilities for applications such as autonomous vehicles, drones, and robots that can operate in harsh or remote environments.

The Open-Source Robotics Stack

The open-source robotics stack is a collection of software and hardware components that provide a common infrastructure for building and programming robots. The stack includes a range of tools and libraries for tasks such as:

  • Motion planning: creating plans for robot motion and navigation
  • Sensor processing: processing data from sensors such as cameras, lidar, and GPS
  • Control: controlling the robot's movement and actions
  • Perception: understanding the robot's environment and detecting objects and obstacles

The open-source robotics stack is a key component of the ROS ecosystem, providing a common infrastructure for building and programming robots.

The Future of Open-Source Robotics

The future of open-source robotics looks bright, with a growing community of developers and researchers working on new projects and applications. The use of AI and ML is expected to continue to play a critical role in the development of open-source robotics, making it possible to create robots that can learn and adapt to new situations.

The open-source robotics community is also expected to continue to grow and evolve, with new tools and libraries being developed and shared. The community is expected to become increasingly diverse, with a wider range of developers and researchers contributing to the project.

Conclusion

The open-source revolution in robotics has the potential to transform the way we build and program robots, making it possible for anyone to create and customize their own robots. The use of AI and ML has made it possible to create robots that can learn and adapt to new situations, allowing them to perform complex tasks and interact with their environment in a more sophisticated way.

The open-source robotics community is expected to continue to grow and evolve, with new tools and libraries being developed and shared. The community is expected to become increasingly diverse, with a wider range of developers and researchers contributing to the project.

As the open-source robotics community continues to grow and evolve, it is likely to have a significant impact on a wide range of industries and applications, from manufacturing and logistics to healthcare and education. The use of open-source robotics has the potential to improve efficiency, reduce costs, and create new possibilities for innovation and improvement.

Source: https://spectrum.ieee.org/open-source-robot-ai-platforms

Source: https://spectrum.ieee.org/open-source-robot-ai-platforms

About the Author

ZadeNor AI Team is a leading expert in ROBOTICS & AUTOMATION, contributing to cutting-edge research and development in the field.

Share this article

TwitterLinkedInFacebookWhatsAppRedditEmail

Related Posts

IEEE Honors Robotics Pioneer Toshio Fukuda

IEEE Honors Robotics Pioneer Toshio Fukuda

Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatronics, and AI-driven automation.Fukuda launched one of the first robotics conferences, the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). It is still popular almost 40 years later.Toshio FukudaEmployerEgypt-Japan University of Science and Technology, in Alexandria TitleProfessor and vice president of research Member gradeLife Fellow Alma matersWaseda University, in Tokyo; University of Tokyo An IEEE Life Fellow, he is a professor emeritus in the department of micro-nano systems engineering and a visiting professor at Nagoya University, in Japan, where he taught for nearly 25 years. Currently, he is a vice president of research at the...

490
5 min
Video Friday: An Earthbound Mars Rover for the Moon

Video Friday: An Earthbound Mars Rover for the Moon

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.RSS 2026: 13–17 July 2026, SYDNEYSummer School on Multi-Robot Systems: 29 July–4 August 2026, PRAGUEActuate 2026: 18–19 August 2026, SAN FRANCISCOIROS 2026: 27 September–1 October 2026, PITTSBURGHEnjoy today’s videos! NASA is considering a mission concept for an advanced, nuclear-powered rover to be deployed to the Moon’s South Pole as part of the agency’s Moon Base plans. The PROMISE (Polar Rover for Observation, Mapping, and In-Situ Exploration) mission concept relies on the Curiosity Mars rover mission’s testbed rover. Some elements of the Perseverance Mars testbed rover shown in this video could be used as well. As exact duplicates of Curiosity and Perseverance, the testbed rovers are equipped with flight-proven engineering systems capable...

488
5 min
Video Friday: Give Robots a Hand

Video Friday: Give Robots a Hand

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.RSS 2026: 13–17 July 2026, SYDNEYSummer School on Multi-Robot Systems: 29 July–4 August 2026, PRAGUEActuate 2026: 18–19 August 2026, SAN FRANCISCOIROS 2026: 27 September–1 October 2026, PITTSBURGHEnjoy today’s videos! The best way of introducing a new robot hand is to have a disembodied one crawling across a table.[ Tangent Robotics ]MIT CSAIL’s Improbable AI Lab Director Pulkit Agrawal explains his “SoftMimic” approach to making robots safer around humans.[ SoftMimic ]I now have absolutely no interest in a humanoid robot for my home unless it can do this.[ PNDbotics ]The DARPA Lift Challenge is open to the public Aug. 6-9, 2026, at the National Museum of the US Air Force.[ DARPA ]Getting...

356
5 min