# Researchers demonstrate learned bipedal maneuvers on a quadruped robot

_Published Wednesday, November 11, 2026 at 1:06 AM EST · Science, Robotics · Latest · Tier 2 — Notable_

Researchers report in an arXiv preprint that their reinforcement learning method controlled a physical quadruped robot as it rose onto two rounded rear feet, walked while balancing upright and returned to the ground.

The method learns a linear representation of the robot's unknown nonlinear dynamics. It combines a one-step prediction with an estimate of future costs to improve the control policy, which then runs without online optimization. The researchers also report improved performance and sample efficiency against model-free and model-based baselines in locomotion simulations. Those comparisons come from simulations; the physical demonstration establishes the sequence of robot maneuvers.

## Sources

- [arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30](https://arxiv.org/abs/2611.14186v1)

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Canonical: https://techandbusiness.org/newswire/kC8Rn6K6o-ixde_8zf-e7s
Published: 2026-11-11T06:06:24.007Z
Story chronology: 2026-11-10T15:08:33.000Z
Retrieved: 2026-11-11T07:57:54.185Z
Publisher: Tech & Business (techandbusiness.org)