# Before Autonomy Takes Control: Software Testing in Robotics

**Authors:** Nils Chur, Thiago Santos de Moura, Argentina Ortega, Sven Peldszus, Thorsten Berger, Nico Hochgeschwender, Yannic Noller  
**arXiv:** [2602.02293](https://arxiv.org/abs/2602.02293)  
**Date:** 2026-02-02  
**Summary page:** https://www.summarizepaper.com/en/paper/2602.02293v1/

## Key points

- Testing robotic systems is complex due to their interaction with hardware components, uncertainties in the environment, handling disturbances, and autonomous operation in dynamic settings.
- The paper presents a mapping study analyzing 247 robotics testing papers and aligning them with established software testing principles.
- Insights are offered into the current state-of-the-art practices in testing robotic systems through this comprehensive analysis.
- An illustrated example demonstrates how software testing theory can be effectively applied in a robotics context.
- Current challenges in robotics testing are highlighted, along with key open questions for further exploration.
- Lessons learned from the research aim to enhance understanding of software testing intricacies within robotics, serving as a valuable resource for researchers, practitioners, and stakeholders.

## Summary

In their paper "Before Autonomy Takes Control: Software Testing in Robotics," authors Nils Chur, Thiago Santos de Moura, Argentina Ortega, Sven Peldszus, Thorsten Berger, Nico Hochgeschwender, and Yannic Noller explore the complexities of testing robotic systems. These systems are crucial for various applications and industries but present unique challenges due to their intricate nature and safety-critical requirements. The authors emphasize that testing robot software is inherently difficult compared to traditional software because it must closely interact with hardware components, adapt to uncertainties in its environment, effectively handle disturbances, and operate autonomously in dynamic settings. To address these challenges and bridge the gap between robotics and software engineering communities, the paper presents a comprehensive mapping study. By analyzing 247 robotics testing papers and aligning them with established software testing principles, the authors offer insights into the current state-of-the-art practices in testing robotic systems. They also provide an illustrated example to demonstrate how software testing theory can be effectively applied in a robotics context. Furthermore, the study sheds light on current challenges faced in robotics testing and identifies key open questions that require further exploration. By sharing lessons learned from their research, the authors aim to enhance understanding of the intricacies of software testing within the realm of robotics. Ultimately, this work serves as a valuable resource for researchers, practitioners,and stakeholders involved in developing safe and reliable robotic technologies.