SOURCE-LINKED INTELLIGENCE
Barrier Certificate Synthesis for Non-Polynomial Robotic Dynamics via Polynomial Lifting
Safe operation of robotic systems requires trajectories to remain within a prescribed safe set under admissible control inputs. Barrier certificates provide such guarantees by certifying a controlled-invariant region within that set. Sum-of-squares optimization offers a systematic way to synthesize such certificates, but its direct application requires polynomial dynamics, excluding common robotic nonlinearities, including trigonometric terms. We address this limitation using exact polynomial lifting, which replaces non-polynomial dynamics with polynomial-augmented dynamics subject to lifting-
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T08:38:50.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.