
Sign up to save your podcasts
Or


In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!
By Francesco Gadaleta4.2
7272 ratings
In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!

4,022 Listeners

26,380 Listeners

756 Listeners

626 Listeners

12,130 Listeners

6,467 Listeners

306 Listeners

113,121 Listeners

56,944 Listeners

14 Listeners

4,025 Listeners

8,043 Listeners

212 Listeners

6,462 Listeners

16,525 Listeners