Humanoid robots are dancing, backflipping, and going viral. But are they ready to do real work?

Theo Nash, founder and CEO of Mundane, joins Greg to challenge the hype cycle and refocus the conversation on what robots are actually for: eliminating dull, dirty, and dangerous work while amplifying human capability.

What happens when a neuroscientist stops asking why the brain works the way it does and starts building his own version in silicon?

From aerospace engineering to tactile sensing and physical AI, Jennifer Kwiatkowski’s path into robotics was driven by a simple but powerful motivation: taking math and physics off the whiteboard and making them work in the real world.

As robots move out of cages and into shared human environments, safety is no longer just about stopping motion. It is about enabling systems to keep moving productively without increasing risk. 3Laws Robotics is tackling one of the hardest problems in autonomy: how to guarantee safety while machines remain in motion.

From academic breakthroughs in legged locomotion to building a horizontal AI platform for millions of robots, Flexion Robotics is taking on one of the hardest problems in the field: how to make robots learn, adapt, and scale in the real world.

From gigabytes of robot telemetry per minute to natural language search across multimodal data, Alloy is tackling one of the most underappreciated bottlenecks in robotics: making sense of what robots are actually doing in the real world.