The field of autonomous systems and robotics is rapidly advancing, with a focus on improving the efficiency, reliability, and performance of autonomous vehicles and robots. Researchers are exploring new architectures, algorithms, and techniques to enhance the capabilities of autonomous systems, including the development of small-scale robot platforms for autonomous driving, comprehensive surveys of leading testbeds such as the RoboRacer platform, and innovative approaches to regression testing optimization for ROS-based autonomous systems. Noteworthy papers in this area include the presentation of Agnocast, a true zero-copy IPC framework for ROS 2, which achieves significant improvements in response time and showcases the potential for seamless integration with existing projects. Another notable paper provides a comprehensive review of regression testing optimization techniques tailored for ROSAS, highlighting major challenges and proposing promising future directions. Overall, the field is moving towards more efficient, scalable, and reliable solutions for autonomous systems, with a strong emphasis on innovation and experimentation.
Advances in Autonomous Systems and Robotics
Sources
A Small-Scale Robot for Autonomous Driving: Design, Challenges, and Best Practices
Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform
Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques
Do high-order Gauss-Legendre methods admit a composition representation and a conjugate-symplectic counterpart?
ROS 2 Agnocast: Supporting Unsized Message Types for True Zero-Copy Publish/Subscribe IPC
A Set-valued Impact Law Approach for Modeling and Analysis of Rigid Contact Universal Joint with Clearance
Analysis and experiments of the dissipative Twistcar: direction reversal and asymptotic approximations
On the coordinate system-dependence of the accuracy of symplectic numerical methods