Robotics and Data Science

With the advance in data science, the field of robotics has improved to a great extent. While robots could perform specific functions, it was impossible for scientists to predict their next move.

For every new functionality, a robot would have to be reprogrammed every time, which made the task a tedious one. Accomplishing real-time vision tasks for robots would mean a fresh set of zeros and ones every time a new trend emerges, thereby increasing the computational complexity.  

Enter machine learning, Data Sc., to solve these issues in robotics. With ML, robots can acquire new behavior patterns through labeled data.

Data science, AI, and robotics have a pretty much symbiotic relationship. Each enhances the other to power innovative machines and technologies that are making our lives more convenient than ever. The collaboration between data science, AI, and ML has given us things like self-driving cars, smart assistants, robo-surgeons and nurses, and so much more.