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A Gripping Problem
Article

A Gripping Problem

Humans are masters of dexterity. But robots are catching up.

Richard Hodson
Nature, 2018
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Editorial Rating

8

Qualities

  • Innovative
  • Scientific
  • Applicable

Recommendation

Robots contribute precise, efficient work to many industries, and their use continues to expand, fueled by new technology. Today’s robots build and pack products with amazing efficiency, but their ability to grasp and manipulate objects remains limited. Researchers address these critical challenges through repetitive machine learning, advanced software and soft, human-like hand designs. Those curious about both the possibilities and limitations of today’s industrial robots will be engaged by this overview of new developments.

Take-Aways

  • Scientists have developed impressive functionality for robots over the past 50 years, but grasping and dexterity remain critical challenges.
  • Researchers use machine learning and improved software to address the gripping challenge.
  • Soft touch is a new paradigm in robotic grasping. 

About the Author

Richard Hodson writes for Nature Outlook supplements. He gained an MA in science journalism from City University London, and studied biomedical science at King’s College London.

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