Famed roboticist says humanoid robot bubble is doomed to burst

Renowned roboticist Rodney Brooks, co-founder of iRobot, critically assesses the billions invested in humanoid robot startups like Tesla and Figure, deeming their video-based dexterity training approach "pure fantasy." He argues that the unmatched complexity of human hands (17,000 touch receptors) and the lack of corresponding 'touch data' for machine learning make current development unfeasible, unlike other AI advancements. Brooks also highlights significant safety risks from falling humanoids and predicts that successful future robots will be wheeled and specialized, not human-shaped, suggesting current investments are funding unscalable experiments.

Analysis

A critical assessment from renowned roboticist and iRobot co-founder Rodney Brooks posits that the billions of dollars being invested into humanoid robot startups, including ventures by Tesla and Figure, are fundamentally misplaced. Brooks argues that the prevailing development strategy—teaching dexterity by showing robots videos of human actions—is "pure fantasy thinking" due to a critical and unresolved hardware gap. Specifically, human hands contain approximately 17,000 specialized touch receptors, a level of sophistication that current robotic hardware cannot replicate, and unlike image or speech recognition, there is no established tradition of collecting the necessary 'touch data' for machine learning. Furthermore, Brooks highlights significant safety risks, noting that the physics of bipedal locomotion means a robot twice the size of current models would possess eight times the harmful energy upon falling. He predicts that over the next 15 years, successful commercial robots will abandon the humanoid form in favor of more practical designs with wheels, multiple arms, and specialized sensors, rendering current humanoid development efforts as expensive, unscalable experiments rather than a path to mass production.

Key Decisions for Investors

• Investors with exposure to humanoid robotics, particularly within Tesla's portfolio or private ventures like Figure, should critically reassess the commercial viability of the bipedal form factor given the fundamental technical and safety hurdles identified.
• Consider diversifying robotics investments towards companies developing specialized, non-humanoid systems (e.g., wheeled, multi-armed robots), which may represent a more pragmatic and scalable path to automation in the medium-term.
• Monitor for any material breakthroughs in haptic sensor technology and 'touch data' acquisition, as progress in this area is a critical prerequisite for validating the long-term investment thesis for human-like robotic dexterity.