A survey that categorizes 122 papers on regression test optimization and argues ROS-based autonomous systems need new semantic and neurosymbolic approaches.
Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned
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abstract
Uncrewed Aerial Vehicles (UAVs) have become a focal point of research, with both established companies and startups investing heavily in their development. This paper presents our iterative process in developing a robust autonomous marker-based landing system, highlighting the key challenges encountered and the solutions implemented. It reviews existing systems for autonomous landing processes, and through this aims to contribute to the community by sharing insights and challenges faced during development and testing.
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Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques
A survey that categorizes 122 papers on regression test optimization and argues ROS-based autonomous systems need new semantic and neurosymbolic approaches.