When Robots Meet Artificial Intelligence: Let’s Do Better to Gain People’s Trust [From the Editor’s Desk]

In a closed-door discussion that I attended recently, the award committee was debating whether to award the best student paper to a reinforcement learning-based robotics work with simulations using open datasets, or a robotics work using more traditional model-based methods with real robot experiments. Much more deliberation took place to reach the decision, and I’m not going to reveal which paper won the award, although, I must say both papers deserve recognition for being finalists in the competition. As a researcher who studied both classic dynamic model-based methods and machine learning-based methods to control robots, I have no bias toward either one, and I think the best solution for complex robotics problems may lie in better integrating of the two methods.

Authors

Publication Details

Journal
IEEE Robotics & Automation Magazine
Published
2024-09-01
DOI
https://doi.org/10.1109/mra.2024.3428148
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

When Robots Meet Artificial Intelligence: Let’s Do Better to Gain People’s Trust [From the Editor’s Desk]

Yi Guo
IEEE Robotics & Automation Magazine
Ethics and Social Impacts of AI
article

When Robots Meet Artificial Intelligence: Let’s Do Better to Gain People’s Trust [From the Editor’s Desk]

Yi Guo
article en

Abstract

In a closed-door discussion that I attended recently, the award committee was debating whether to award the best student paper to a reinforcement learning-based robotics work with simulations using open datasets, or a robotics work using more traditional model-based methods with real robot experiments. Much more deliberation took place to reach the decision, and I’m not going to reveal which paper won the award, although, I must say both papers deserve recognition for being finalists in the competition. As a researcher who studied both classic dynamic model-based methods and machine learning-based methods to control robots, I have no bias toward either one, and I think the best solution for complex robotics problems may lie in better integrating of the two methods.

IEEE Robotics & Automation MagazineVol. 31(3)
Openalex Percentile: Top 82%
Ethics and Social Impacts of AI
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