On How We Teach and How We Learn
Reducing data to the scale we need it to be
Here’s today at a glance:
🤖 Teaching Robots To Do Stuff
What’s the biggest problem in robotics? If you want to train them, you need real-world data… and current methods which would require say a robot to attempt to plug a power cord in 10,000 times in order to learn how to do it, are just too expensive in the real world.
This Berkeley-UW-Stanford team decided to solve this by:
putting together an out-of-the-box software stack for getting reinforcement learning running on robots
putting together the best pieces for algorithms, rewards and resets; with
minimal hardware specifications for controllers that work well for contact-based manipulation tasks
