For decades, robots in industry have followed one principle: You program every single step.
Every movement.
Every position.
Every exception.
And if something changes, you start again.
That approach is reaching its limits.
As environments become less structured and processes more dynamic, the question shifts:
How do you move from programming robots… to teaching them?
You'll gain insights into:
- how to physically guide a robot arm
- what a VR headset, a gripper replica, and a helmet camera have in common
- why data quality matters more than data quantity
- how close we really are to just talking to a robot and getting an answer
More about RobCo:
Website:https://www.rob.co
LinkedIn: https://www.linkedin.com/company/robco-therobotcompany/
Instagram: https://www.instagram.com/robco_therobotcompany/
Chapter markers
00:00 How do you actually teach an AI robot?
01:13 Traditional robot programming
03:08 RobFlow: no-code meets the factory floor
05:30 Overview: Five ways to teach a robot
06:21 Method 1: moving the arm by hand
08:23 Method 2: the leader arm and haptic feedback
10:41 Method 3: VR goggles as a teaching device
15:39 Method 4: the gripper replica in your hand
17:47 Method 5: motion capture and ego data
22:00 Rich data vs. massive data: What works better?
27:09 How far away is voice-controlled robotics?
31:10 Why humanoid hardware is still the bottleneck
35:42 Learning robots open a completely new dimension
39:00 We're using AI like a typewriter, what's next?
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