Patented locomotion efficiency · Humanoid robotics

Make humanoid robots walk and run dramatically more efficiently.

Whip-Torsion is a patent-pending control-architecture method that current humanoid platforms lack. The gap to human locomotion economy is not the hardware. It is the control.

Talk to us See the opportunity

The thesis

Today's humanoid robots, even those employing spring-mass dynamics, operate nowhere near human economy. This gap is not a hardware limitation; the necessary springs already exist. What is missing is a control-architecture method that current platforms lack, which is exactly where Whip-Torsion lives.

While we are not describing the method here, there is a reason it has not been built: a century of biomechanics has found each of its pieces in isolation without ever assembling them. That is why sports science can measure human running economy and catalog its factors, yet its own flagship reviews concede that the integrated quality producing it has never been specified. Whip-Torsion is that missing specification.

Rather than explain the method, we let you prove it. Enter your platform's own numbers into the tool and watch the whole-robot energy reduction land, based entirely on public physics, with none of the proprietary method exposed. The method is patent-pending and disclosed only under a paid evaluation.

Open the tool at whiptorsion.ai

The problem

Locomotion energy is the ceiling on humanoid robots.

Bipedal locomotion is the single largest energy constraint on humanoid robots. Today's powered humanoids run at a cost of transport roughly an order of magnitude worse than a human — and that energy directly caps operational range, uptime, and unit economics. Conventional control treats walking as a series of discrete balance corrections; the result is stiff, inefficient gaits that struggle with dynamic terrain, regardless of how much spring or actuator hardware is added.

The opportunity

A simpler control framework that recovers the energy others waste.

Whip-Torsion simplifies the locomotion control problem and produces both walking and running from a single framework. The size of the opportunity is auditable from public physics: a textbook spring-mass / SLIP model run on a platform's own parameters brackets the whole-robot energy reduction — no proprietary detail required to check it.

15–25%Whole-robot energy reduction on existing actuators
30–50%When spring-based (compliant) hardware is designed in
Both gaitsWalking and running from one architecture

That range is the claim. The method itself — the "how" — is the protected IP, disclosed only under a paid evaluation and validated on the licensee's own hardware. A browser-based tool at whiptorsion.ai lets invited evaluators size the opportunity on their own numbers, using only public, textbook physics — with every step open to inspection.

Intellectual property

Patent-pending, pre-publication.

FiledU.S. provisional — April 11, 2026
Utility filing2026
PublicationExpected Oct 13, 2027
Scope23 claims — method, robotic implementation, control software, apparatus

The pre-publication window is a genuine first-mover opportunity for early licensees: a protected locomotion edge that can be secured before the method becomes public.

Licensing

By field of use, disclosed in proportion to commitment.

Whip-Torsion licenses to humanoid-robotics OEMs under a staged, low-risk path that protects both sides:

About

An inventor-led IP venture.

Whip-Torsion is an inventor-led intellectual-property venture. The method was developed empirically over a decade and patented; the approach is grounded in first-principles spring-mass physics and validated in practice. Technical and licensing details are shared with qualified evaluators under NDA.

Contact

Start a conversation.

For licensing and evaluation inquiries: contact@whiptorsion.com