Ken Goldberg's company, Ambi Robotics, successfully uses simple suction cups for logistics. He argues that the industry's focus on human-like hands is misplaced, as simpler grippers are more practical, reliable, and capable of performing immensely complex tasks today.

Brett Adcock argues that designing humanoid robots for extreme feats like backflips creates expensive, heavy, and unsafe machines. The optimal design targets the "fat part of the distribution" of human tasks—laundry, dishes, companionship—to build a practical, general-purpose robot for the mass market.

The humanoid form factor presents significant safety hazards in a home, such as a heavy robot becoming a “ballistic missile” if it falls down stairs. Simpler, specialized, low-mass designs are far more cost-effective and safer for domestic environments.

Despite labs being human-centric, humanoid robots are a poor solution. The primary task is moving samples, which specialized tracks do better. Biology, like chip manufacturing, is a microscopic discipline where the goal is to remove human-scale limitations, not replicate them with robots.

The dream of a do-everything humanoid is a top-down approach that will take a long time. Roboticist Ken Goldberg argues for a bottom-up strategy: master specific, valuable tasks like folding clothes or making coffee reliably first. General intelligence will emerge from combining these skills over time.

The founder of Uber, Travis Kalanick, has resurfaced with a new venture, "Atoms," that makes a specific bet on the future of robotics. He argues against the current hype around general-purpose humanoid robots, believing the more immediate and efficient path to industrial automation lies with specialized, wheeled robots.

Investor Steve Vassallo argues that robotic systems achieve true success when they diffuse into the background and are no longer called 'robots.' Instead, they become known by their function, like a 'forklift' or a 'washing machine.' This product-centric view suggests focusing on purpose-built automation over general-purpose humanoid forms.

Neurological studies show the human brain maps a tool's tip as if it were our hand. This implies that a powerful physical intelligence should not be tied to a specific body (e.g., a humanoid) but should be a general "brain" capable of controlling any embodiment, from a bulldozer to a multi-fingered hand.

The hype for humanoid robots in manufacturing is misplaced. Most factory tasks, like screwing a keyboard into a case, are best performed by dedicated robots designed for a single purpose. Advanced manufacturing already uses specialized automation, not human replacements.