Humanoid Robots Can Crawl Like Demons But Should They?
But arguably, the most unnerving thing about humanoid robots is that they are not bound by human limitations at all. A viral clip this week from researcher Logan Olson upended the polite illusion of humanoid machines as stiff, hand‑shaking automatons. In this footage, a robot drops to all fours in under a second, twisting its limbs into an arachnid‑like crouch as it scuttles across a concrete patio. The motion is fluid, fast, and-as one observer put it-“terrifyingly cool.” It’s also a stark reminder that the humanoid form factor does not dictate humanoid behavior.
Chris Paxton, an AI research scientist at Agility Robotics, reshared the video with a pretty pointed clarification: “A lot of these robots are ‘faking’ the humanlike motions. It’s a property of how they’re trained, not an inherent property of the hardware. They’re actually capable of way weirder stuff and way faster motions.” A follow-up from him cut even deeper into the efficiency debate: “Human motion is most efficient for humans; robots are not humans.”
That’s a distinction that makes a difference. In industrial automation, form follows function. Wheeled autonomous guided vehicles glide through warehouses with minimal energy loss. Single‑arm robots execute repetitive tasks at speeds no human limb can match. The humanoid shape torso, two arms, two legs offers adaptability in environments built for people but also carries mechanical compromises. Each joint adds weight, cost, and control complexity. As specialists in legged locomotion are quick to point out, the number of propulsive limbs directly impacts such key factors as stability, energy efficiency, and gait dynamics.
But bipedal gait optimization research has made clear that robots designed to walk like humans commonly use several times the amount of energy we do. Researchers have tried a variety of different leg mechanisms, compliant torque control, and even ostrich-inspired designs in hopes of getting better efficiency. Yet the humanoid template persists, driven forward by the promise of seamless integration into human spaces.
The crawling display underlines a paradox: hardware that is capable of nonhuman locomotion is usually constrained by training regimes that enforce human mimicry. In biological systems, the transition of gait from quadrupedal to bipedal changes the nature of the vertical oscillation of the center of mass and its interaction with dynamic stability and energy recovery. Releasing the robots from strict human gait patterns could unlock speed, agility, and resilience qualities fundamental to performance of tasks in unstable environments.
Industrial veterans such as Chris Walti, the former lead of Tesla’s Optimus project, are blunt about the mismatch between humanoid design and factory needs. “It’s not a useful form factor,” he said. “Most of the work that has to be done in industry is highly repetitive tasks where velocity is key. The human form evolved to escape wolves and bears. We weren’t designed to do repetitive tasks over and over again.”
Data on cost and complexity supports this claim of inefficiency: actuators can be more than half the build price of a humanoid, while dexterous hands add great expense without necessarily improving task throughput in industrial contexts. Wheels, tracks, or multi-legged designs often outperform bipeds in stability and speed, especially when AI-enhanced control systems are applied.
But the humanoid race is accelerating, with Tesla, Figure AI, Unitree, and Agility Robotics all pushing toward commercial deployment-with targets ranging from the thousands to hundreds of thousands of units in the next few years. Learning‑based controllers, such as reinforcement‑trained causal transformers, have already demonstrated robust adaptability in real‑world bipedal robots–handling slopes, rough terrain, and payloads without falls. These advances suggest that while the human silhouette may be inefficient for certain jobs, it can be paired with control intelligence that rivals or surpasses biological agility.
More than a viral oddity, Olson’s crawling robot represents a future in which humanoid machines discard the polite constraints of human imitation and adopt locomotion strategies biomechanically alien and mechanically optimal. Whether that future belongs in factories, disaster zones, or unsettling backyard demos is an open-and urgent-question for designers and investors alike.
