Mr. Subas Viper’s Post

Just completed a presentation session regarding robotics.

   Everything you need know about Robotics.ROS, the Robot Operating System, is an open source framework for getting robots to do things. ROS is meant to serve as a common software platform for people who are building and using robots. This common platform lets people share code and ideas more readily and, perhaps more importantly, means that you do not have to spend years writing software infrastructure before your robots start moving! ROS consists of a number of parts: 1. A set of drivers that let you read data from sensors and send commands to motors and other actuators, in an abstracted, well-defined format. A wide variety of popular hardware is supported, including a growing number of commercially available robot systems. 2. A large and growing collection of fundamental robotics algorithms that allow you to build maps of the world, navigate around it, represent and interpret sensor data, plan motions, manipulate objects, and do a lot of other stuff. ROS has become very popular in the robotics research community, and a lot of cuttingedge algorithms are now available in ROS. 3. All of the computational infrastructure that allows you to move data around, to connect the various components of a complex robot system, and to incorporate your own algorithms. ROS is inherently distributed and allows you to split the workload across multiple computers seamlessly.

The development and testing of algorithms for robotics applications typically requires evaluations in both simulated and physical environments.

🔚 Wrapping Up an Exciting adventure of Krytn Robotics Exploration! I've embarked on an exhilarating journey into the world of robotics, starting from simple simulations and progressing to advanced integrations. A huge shoutout to Dr. John Vial for his unwavering support and guidance throughout this journey. His insights have been invaluable in navigating challenges and achieving breakthroughs in robotics development. > I began by exploring a coffee shop simulation with Krytn, a robot I controlled in a virtual environment using Docker Desktop and VS Code. This experience offered a hands-on understanding of robot teleoperation, demonstrating the power of simulations in robotics development. > Next, I dove deeper into robotics by setting up a complete simulation environment in Gazebo, from testing teleoperation to configuring sensors and navigation systems. The step-by-step breakdown provided a solid foundation for building autonomous robots. > The journey wasn't without its challenges. I faced technical issues with Gazebo and RViz freezing, halting my progress. Persistence paid off as I overcame the technical hiccups, ensuring smooth robot data visualization, and continued my exploration of robot frames and sensor integration. > Krytn advanced to autonomous navigation, where it dynamically adjusted its path using local and global plans, showcasing its ability to navigate obstacles in real-time. > Moving beyond just functionality, I delved into design, using FreeCAD and Blender to model and texture Krytn's tray. This step was crucial in bringing the robot’s components to life with visual precision. > Finally, I integrated the new tray part into Krytn using FreeCAD and updated the URDF for simulation in Gazebo. The meticulous alignment and bug fixes ensured that Krytn is now better equipped for its tasks. Throughout this journey, I’ve learned that robotics is as much about overcoming challenges as it is about creating innovative solutions. Excited for what’s next in this robotics adventure!

🤖 New article for robotics experts, aficionados, and visionaries: How Computer Vision Is Transforming Robotics 🔎 Explore the captivating world where computer vision meets robotics, including: 1️⃣ Robotics industry overview & key challenges 2️⃣ Exciting applications of computer vision in robotics 3️⃣ Cutting-edge companies in robotics, including RIOS Intelligent Machines, Berkshire Grey, Bonsai Robotics, Scythe Robotics, and Woven by Toyota 4️⃣ Robotics datasets you can explore instantly in your browser https://lnkd.in/gdGpNfZv #robots #robotics #automation #ai #computervision #machinelearning

Exploring the intersection of robotics and engineering: Discover the crucial role of talent in shaping the future of this dynamic field. 🤖💼 https://lnkd.in/gaAca37E #Robotics #Engineering #TalentStrategy

I had the incredible opportunity to work alongside Daniel G. and explore computer vision + AI in #robotics! If you're as interested in AI-powered robots as I am, check out this article!

The development and testing of algorithms for robotics applications typically requires evaluations in both simulated and physical environments.

The development and testing of algorithms for robotics applications typically requires evaluations in both simulated and physical environments.

I've been in the lab and am finally ready to release: 🤖 How Computer Vision Is Transforming Robotics 🤖 🔎 Take a dive into fascinating world where computer vision meets robotics, including: 1️⃣ Robotics industry overview & key challenges 2️⃣ Exciting applications of computer vision in robotics 3️⃣ Cutting-edge companies in robotics, including RIOS Intelligent Machines Berkshire Grey, Bonsai Robotics, Scythe Robotics, and Woven by Toyota 4️⃣ Robotics datasets you can explore instantly in your browser https://lnkd.in/etxx5hj4 Thanks to the wonderful Michelle Brinich for all the work she put into it as well! #machinelearning #robotics #artificialintelligence #datascience #datasets