Lodestar: An Integrated Embedded Real-Time Control Engine
March 01, 2022 ยท Entered Twilight ยท ๐ Conference on Control Technology and Applications
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Repo contents: .github, .gitignore, .gitmodules, CMakeLists.txt, LICENSE, Lodestar, README.md, cmake, dep, doc, examples, main.cpp, tests
Authors
Hamza El-Kebir, Joseph Bentsman, Melkior Ornik
arXiv ID
2203.00649
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
1
Venue
Conference on Control Technology and Applications
Repository
https://github.com/helkebir/Lodestar
โญ 3
Last Checked
2 months ago
Abstract
In this work we present Lodestar, an integrated engine for rapid real-time control system development. Using a functional block diagram paradigm, Lodestar allows for complex multi-disciplinary control software design, while automatically resolving execution order, circular data-dependencies, and networking. In particular, Lodestar presents a unified set of control, signal processing, and computer vision routines to users, which may be interfaced with external hardware and software packages using interoperable user-defined wrappers. Lodestar allows for user-defined block diagrams to be directly executed, or for them to be translated to overhead-free source code for integration in other programs. We demonstrate how our framework departs from approaches used in state-of-the-art simulation frameworks to enable real-time performance, and compare its capabilities to existing solutions in the realm of control software. To demonstrate the utility of Lodestar in real-time control systems design, we have applied Lodestar to implement two real-time torque-based controller for a robotic arm. In addition, we have developed a novel autofocus algorithm for use in thermography-based localization and parameter estimation in electrosurgery and other areas of robot-assisted surgery. We compare our algorithm design approach in Lodestar to a classical ground-up approach, showing that Lodestar considerably eases the design process. We also show how Lodestar can seamlessly interface with existing simulation and networking framework in a number of simulation examples.
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