{"ID":2844723,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.06141","arxiv_id":"2511.06141","title":"PlaCo: a QP-based robot planning and control framework","abstract":"This article introduces PlaCo, a software framework designed to simplify the formulation and solution of Quadratic Programming (QP)-based planning and control problems for robotic systems. PlaCo provides a high-level interface that abstracts away the low-level mathematical formulation of QP problems, allowing users to specify tasks and constraints in a modular and intuitive manner. The framework supports both Python bindings for rapid prototyping and a C++ implementation for real-time performance.","short_abstract":"This article introduces PlaCo, a software framework designed to simplify the formulation and solution of Quadratic Programming (QP)-based planning and control problems for robotic systems. PlaCo provides a high-level interface that abstracts away the low-level mathematical formulation of QP problems, allowing users to...","url_abs":"https://arxiv.org/abs/2511.06141","url_pdf":"https://arxiv.org/pdf/2511.06141v1","authors":"[\"Marc Duclusaud\",\"Grégoire Passault\",\"Vincent Padois\",\"Olivier Ly\"]","published":"2025-11-08T21:27:07Z","proceeding":"cs.RO","tasks":"[\"cs.RO\"]","methods":"[]","has_code":false}