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Articles

Performant robotic manipulation with real-world reinforcement learning

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By Bioinspired multimodal roboticsBy, Ziyu Ren, Kun Lei, Johannes A. Stork, Huanyu Li, Dongjie Yu, Zhenyu Wei, Lingxiao Guo, Zhennan Jiang, Ziyu Wang, Shiyu Liang, Huazhe Xu
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass skilled human operators.
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Bioinspired multimodal robotics

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By Bioinspired multimodal roboticsBy, Ziyu Ren, Kun Lei, Johannes A. Stork, Youning Duo, Haoyuan Xu, Yihui Zhang, Jamie Paik, Auke Ijspeert
| Science Magazine Verified
Abstract REFERENCES AND NOTES Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Abstract To survive in dynamic and unstructured environments, animals have developed extraordinary multimodal locomotion capabilities. This biological insight drives the innovation of bioinspired multimodal robots, which are defined as robotic systems integrating and transitioning between two or more distinct modes of bioinspired locomotion.
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Beyond imitation: Robots that learn to work in the real world

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By Ziyu Ren, Kun Lei, Johannes A. Stork, Bioinspired multimodal roboticsBy
| Science Magazine Verified
Abstract REFERENCES AND NOTES Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Abstract Real-world learning can push robot manipulation beyond imitation alone. Related Research Article Performant robotic manipulation with real-world reinforcement learning Science Robotics22 Jul 2026 Access the full article View all access options to continue reading this article. CHECK ACCESS REFERENCES AND NOTES 1 K. Lei, H. Li, D. Yu, Z. Wei, L. Guo, Z. Jiang, Z. Wang, S.
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