Synopsis of Social media discussions
The collective discussions reveal a strong interest in the innovative combination of biomimicry and machine learning, with phrases like 'excited,' 'advancements,' and 'powerful approach' emphasizing enthusiasm. The tone tends to be optimistic and forward-looking, which reflects a perception that this research could significantly influence the future of biohybrid design and robotics, even if detailed critical engagement is limited.
Agreement
Moderate agreementMost discussions acknowledge the significance of using machine learning to improve biohybrid robot design, indicating general support and recognition of the research's relevance.
Interest
High level of interestPosts show a high level of curiosity and enthusiasm, often highlighting exciting advancements and expressing anticipation for the potential applications.
Engagement
Moderate level of engagementWhile some discussions reference specific technical methods (like AI and optimization techniques), overall comments remain somewhat superficial without deep analytical debate.
Impact
Moderate level of impactThe consensus suggests that the community perceives this work as impactful, especially within biomimetic design and robotics, but with cautious optimism about its broader influence.
Social Mentions
YouTube
2 Videos
2 Posts
33 Posts
News
17 Articles
2 Posts
Metrics
Video Views
923
Total Likes
237
Extended Reach
9,151,470
Social Features
56
Timeline: Posts about article
Top Social Media Posts
Science Magazine
Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins inspired by rays and other marine animals.
Learn more in @SciRobotics: https://t.co/QYv32lul8a https://t.co/q9umeDSUac
view full post
Science Magazine
Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins inspired by rays and other marine animals.
Learn more in @SciRobotics: https://t.co/QYv32lul8a https://t.co/1Dm8ELEVga
view full post
Science Robotics
A new Science #Robotics study describes how #MachineLearning-directed optimization helped design a millimeter-scale #biohybrid ray that can swim more efficiently than previous biomimetic designs. https://t.co/6nj2mGrB9y https://t.co/I2q62nCq46
view full post
outside five sigma
Zimmerman2025: Bioinspired design of a tissue-engineered ray with machine learning
https://t.co/11oD9fCQZQ https://t.co/3aUi73zXsn
view full post
Science Robotics
Scientists have developed a #MachineLearning-based approach to optimize the design of small #biohybrid robots with fins inspired by rays and other marine animals. @JohnFZimmerman @Harvard
Learn more in Science #Robotics: https://t.co/6nj2mGrB9y https://t.co/bsqpBsX8oz
view full post
Posts referencing the article
Neural Network Optimization of Biohybrid Ray Shape for Small-Scale Swimming
This work uses neural networks to design biohybrid rays capable of efficient small-scale swimming. Machine learning-directed optimization enhances performance by replicating biological structures, advancing bio-inspired robotic swimmer development. For more details, see the publication in Science Robotics.
February 13, 2025
848 views
Biohybrid Mini-Ray Robots Using Machine Learning for Enhanced Performance
Discover how researchers combine tissue engineering and machine learning to optimize biohybrid robots. This video explores the development of a stingray-inspired miniray optimized for high-speed swimming at a small scale, highlighting design, fabrication, and potential applications.
February 23, 2025
75 views
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RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Nacho
@nachirulo21 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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the white house
@ibenxjean (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Ahmad Saeed
@AhmedSaeed8998 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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김솜과 김사탕
@SomandSatang (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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ca c
@cac072948410010 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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rajivk-substack
@RajivkSubstack (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Xenemy
@Pubble_Gun (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Eder Andrés
@ederandres152 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Thomas Ulrich
@ThomasU73816583 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Químics de Catalunya
@quimics (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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New
@New894952815373 (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Juan
@jctoyzhut (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 24, 2025
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Science Magazine
@ScienceMagazine (Twitter)Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins inspired by rays and other marine animals. Learn more in @SciRobotics: https://t.co/QYv32lul8a https://t.co/q9umeDSUac
view full postFebruary 24, 2025
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Jerome OLLIER https://jeromeollier.bsky.social/
@JeromeOLLIER (Twitter)@NttResearch and Harvard scientists optimize biohybrid ray development with machine learning - @hseas https://t.co/rt5IT01494 https://t.co/RPgO5cgl8r
view full postFebruary 21, 2025
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萬福(笑門來福)☔️ c7+i
@wan4fu2 (Twitter)RT @jwt0625: Zimmerman2025: Bioinspired design of a tissue-engineered ray with machine learning https://t.co/11oD9fCQZQ https://t.co/3aUi73…
view full postFebruary 21, 2025
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Germán Sierra
@german_sierra (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 19, 2025
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@_tlr_ (Twitter)RT @ScienceMagazine: Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins…
view full postFebruary 19, 2025
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Science Magazine
@ScienceMagazine (Twitter)Scientists have developed a machine learning-based approach to optimize the design of small biohybrid robots with fins inspired by rays and other marine animals. Learn more in @SciRobotics: https://t.co/QYv32lul8a https://t.co/1Dm8ELEVga
view full postFebruary 19, 2025
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outside five sigma
@jwt0625 (Twitter)Zimmerman2025: Bioinspired design of a tissue-engineered ray with machine learning https://t.co/11oD9fCQZQ https://t.co/3aUi73zXsn
view full postFebruary 18, 2025
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Nathalia Le Hen
@NathaliaLeHen (Twitter)RT @SciRobotics: A new Science #Robotics study describes how #MachineLearning-directed optimization helped design a millimeter-scale #biohy…
view full postFebruary 18, 2025
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Science Robotics
@SciRobotics (Twitter)A new Science #Robotics study describes how #MachineLearning-directed optimization helped design a millimeter-scale #biohybrid ray that can swim more efficiently than previous biomimetic designs. https://t.co/6nj2mGrB9y https://t.co/I2q62nCq46
view full postFebruary 18, 2025
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actu ing
@ActuIng2024 (Twitter)... Bioinspired design of a tissue-engineered ray with machine learning ... https://t.co/nQ9xqR8WtW
view full postFebruary 18, 2025
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Sato Takaaki/佐藤隆明
@satotakaaki (Twitter)RT @iw_toshiki: 【MLでエイ型ロボット開発を効率化】 ハーバード大学SEAS（@hseas）とNTT Research（@NttResearch）社は機械学習による最適化（ML-DO）でバイオミメティクス設計を効率化。生体模倣。#ロボット #AI 《Bioins…
view full postFebruary 16, 2025
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Iwahori Toshiki
@iw_toshiki (Twitter)【MLでエイ型ロボット開発を効率化】 ハーバード大学SEAS（@hseas）とNTT Research（@NttResearch）社は機械学習による最適化（ML-DO）でバイオミメティクス設計を効率化。生体模倣。#ロボット #AI 《Bioinspired design of a tissue-engineered ray with machine learning》https://t.co/zRLM0GOtBq https://t.co/mt0gvrMp7u
view full postFebruary 16, 2025
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Elif Ece
@ElifEceIstanbul (Twitter)Bioinspired design of a tissue-engineered ray with machine learning | Science Robotics https://t.co/3uuKZzoHuU
view full postFebruary 15, 2025
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Stand Ready For My Arrival, Bro
@crumbubulus (Twitter)RT @SciRobotics: Scientists have developed a #MachineLearning-based approach to optimize the design of small #biohybrid robots with fins in…
view full postFebruary 14, 2025
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Xing Wang Research Group
@XingWangGroup (Twitter)RT @SciRobotics: Scientists have developed a #MachineLearning-based approach to optimize the design of small #biohybrid robots with fins in…
view full postFebruary 14, 2025
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Déji Fadahunsi
@DJone01 (Twitter)RT @SciRobotics: Scientists have developed a #MachineLearning-based approach to optimize the design of small #biohybrid robots with fins in…
view full postFebruary 14, 2025
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Science Robotics
@SciRobotics (Twitter)Scientists have developed a #MachineLearning-based approach to optimize the design of small #biohybrid robots with fins inspired by rays and other marine animals. @JohnFZimmerman @Harvard Learn more in Science #Robotics: https://t.co/6nj2mGrB9y https://t.co/bsqpBsX8oz
view full postFebruary 14, 2025
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John F Zimmerman
@JohnFZimmerman (Twitter)Excited for our newest work in Science Robotics https://t.co/d2J0Mv2sxX read more (https://t.co/1WvJxhNNHt)
view full postFebruary 13, 2025
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BHIVE Tech Bee
@TechGeekTweets (Twitter)Exciting advancements in bioinspired design! Check out the latest on tissue-engineered rays powered by machine learning.
view full postFebruary 13, 2025
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Biomimetics
@Biomimetics_abe (Twitter)Bioinspired design of a tissue-engineered ray with machine learning | https://t.co/lmOXAh1FxO
view full postFebruary 12, 2025
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Abstract Synopsis
- In biomimetic design, researchers aim to replicate biological structures to create functional devices, but challenges arise due to differences in scale that affect performance.
- Machine learning-directed optimization (ML-DO) has been shown to be more effective than other techniques, like Bayesian optimization, in designing biohybrid robotic swimmers with enhanced performance.
- This research successfully maximizes thrust in a tissue-engineered robotic swimmer, enabling it to swim effectively at a smaller scale while maintaining natural locomotive principles.
Nelson Maica C
@jupiterxc (Twitter)