ProxQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond

Convex Quadratic programming (QP) has become a core component in the modern engineering toolkit, particularly in robotics, where QP problems are legions, ranging from real-time whole-body controllers to planning and estimation algorithms. Many of those QPs need to be solved at high frequency. Meetin...

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Vydáno v:	IEEE transactions on robotics s. 1 - 19
Hlavní autoři:	Bambade, Antoine, Schramm, Fabian, El-Kazdadi, Sarah, Caron, Stephane, Taylor, Adrien, Carpentier, Justin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	Automatic Benchmark testing Convergence Embedded optimization Engineering Sciences Mathematics Optimization Optimization and Control Predictive control Quadratic programming Robot sensing systems Robots Software Software algorithms Quadratic Programming Optimization Embedded optimization
ISSN:	1552-3098, 1941-0468
On-line přístup:	Získat plný text
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