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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
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Your mileage may vary.

Elena Messina1

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.

Science Robotics
|November 2, 2020
PubMed
Summary
This summary is machine-generated.

Reproducible robotics experiments are crucial for efficient advancement in this fast-growing scientific field. Ensuring rigor accelerates innovation and discovery in robotic systems development.

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Area of Science:

  • Robotics
  • Experimental Science

Background:

  • The field of robotics is experiencing rapid growth.
  • Advancing robotics efficiently requires robust experimental methodologies.

Purpose of the Study:

  • To emphasize the critical need for rigorous and reproducible experiments in robotics.
  • To highlight how such practices can accelerate scientific progress.

Main Methods:

  • This study focuses on the principles of experimental design for reproducibility.
  • It reviews best practices in data collection and analysis for robotic systems.

Main Results:

  • Rigorous experimental approaches are essential for reliable and repeatable results.
  • Lack of reproducibility hinders efficient progress in robotics research.

Conclusions:

  • Implementing rigorous experimental standards is paramount for the future of robotics.
  • Reproducibility ensures the validity and acceleration of robotic advancements.