Science Robotics最新文献

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Restoration of tactile sensation in bionic hands.
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-02-19 DOI: 10.1126/scirobotics.adw3630
Amos Matsiko
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引用次数: 0
A democratized bimodal model of research for soft robotics: Integrating slow and fast science.
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-02-19 DOI: 10.1126/scirobotics.adr2708
Nana Obayashi, David Howard, Kyle L Walker, Jonas Jørgensen, Maks Gepner, Dan Sameoto, Adam Stokes, Fumiya Iida, Josie Hughes
{"title":"A democratized bimodal model of research for soft robotics: Integrating slow and fast science.","authors":"Nana Obayashi, David Howard, Kyle L Walker, Jonas Jørgensen, Maks Gepner, Dan Sameoto, Adam Stokes, Fumiya Iida, Josie Hughes","doi":"10.1126/scirobotics.adr2708","DOIUrl":"10.1126/scirobotics.adr2708","url":null,"abstract":"<p><p>A shift toward a democratized, bimodal model of research would allow soft robotics to realize its full potential.</p>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 99","pages":"eadr2708"},"PeriodicalIF":26.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Head-mounted surgical robots are an enabling technology for subretinal injections
IF 25 1区 计算机科学
Science Robotics Pub Date : 2025-02-19 DOI: 10.1126/scirobotics.adp7700
Nicholas R. Posselli, Eileen S. Hwang, Zachary J. Olson, Aaron Nagiel, Paul S. Bernstein, Jake J. Abbott
{"title":"Head-mounted surgical robots are an enabling technology for subretinal injections","authors":"Nicholas R. Posselli, Eileen S. Hwang, Zachary J. Olson, Aaron Nagiel, Paul S. Bernstein, Jake J. Abbott","doi":"10.1126/scirobotics.adp7700","DOIUrl":"https://doi.org/10.1126/scirobotics.adp7700","url":null,"abstract":"Therapeutic protocols involving subretinal injection, which hold the promise of saving or restoring sight, are challenging for surgeons because they are at the limits of human motor and perceptual abilities. Excessive or insufficient indentation of the injection cannula into the retina or motion of the cannula with respect to the retina can result in retinal trauma or incorrect placement of the therapeutic product. Robotic assistance can potentially enable the surgeon to more precisely position the injection cannula and maintain its position for a prolonged period of time. However, head motion is common among patients undergoing eye surgery, complicating subretinal injections, yet it is often not considered in the evaluation of robotic assistance. No prior study has both included head motion during an evaluation of robotic assistance and demonstrated a significant improvement in the ability to perform subretinal injections compared with the manual approach. In a hybrid ex vivo and in situ study in which an enucleated eye was mounted on a human volunteer, we demonstrate that head-mounting a high-precision teleoperated surgical robot to passively reduce undesirable relative motion between the robot and the eye results in a bleb-formation success rate on moving eyes that is significantly higher than the manual success rates reported in the literature even on stationary enucleated eyes.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"20 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143452009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Biohybrid hand actuated by multiple human muscle tissues
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-02-12
Xinzhu Ren, Yuya Morimoto, Shoji Takeuchi
{"title":"Biohybrid hand actuated by multiple human muscle tissues","authors":"Xinzhu Ren,&nbsp;Yuya Morimoto,&nbsp;Shoji Takeuchi","doi":"","DOIUrl":"","url":null,"abstract":"<div >Cultured muscle tissue serves as a power source in biohybrid robots that demonstrate diverse motions. However, current designs typically only drive simple substrates on a small scale, limiting flexibility and controllability. To address this, we proposed a biohybrid hand with multijointed fingers powered by multiple muscle tissue actuators (MuMuTAs), bundles of thin muscle tissues. The MuMuTA can provide linear actuation with high contractile force (~8 millinewtons) and high contractile length (~4 millimeters), which can be converted into the flexion of multijointed fingers by a cable-driven mechanism. We successfully powered the biohybrid hand achieving individual control of fingers and a variety of motions using different signaling controls. This study showcases the potential of MuMuTAs as a driving source for advanced biohybrid robotics.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 99","pages":""},"PeriodicalIF":26.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bioinspired design of a tissue-engineered ray with machine learning
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-02-12
John F. Zimmerman, Daniel J. Drennan, James Ikeda, Qianru Jin, Herdeline Ann M. Ardoña, Sean L. Kim, Ryoma Ishii, Kevin Kit Parker
{"title":"Bioinspired design of a tissue-engineered ray with machine learning","authors":"John F. Zimmerman,&nbsp;Daniel J. Drennan,&nbsp;James Ikeda,&nbsp;Qianru Jin,&nbsp;Herdeline Ann M. Ardoña,&nbsp;Sean L. Kim,&nbsp;Ryoma Ishii,&nbsp;Kevin Kit Parker","doi":"","DOIUrl":"","url":null,"abstract":"<div >In biomimetic design, researchers recreate existing biological structures to form functional devices. For biohybrid robotic swimmers assembled with tissue engineering, this is problematic because most devices operate at different length scales than their naturally occurring counterparts, resulting in reduced performance. To overcome these challenges, here, we demonstrate how machine learning–directed optimization (ML-DO) can be used to inform the design of a biohybrid robot, outperforming other nonlinear optimization techniques, such as Bayesian optimization, in the selection of high-performance geometries. We show how this approach can be used to maximize the thrust generated by a tissue-engineered mobuliform miniray. This results in devices that can swim at the millimeter scale while more closely preserving natural locomotive scaling laws. Overall, this work provides a quantitatively rigorous approach for the engineering design of muscular structure-function relationships in an automated fashion.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 99","pages":""},"PeriodicalIF":26.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Biohybrid hand actuated by multiple human muscle tissues
IF 25 1区 计算机科学
Science Robotics Pub Date : 2025-02-12 DOI: 10.1126/scirobotics.adr5512
Xinzhu Ren, Yuya Morimoto, Shoji Takeuchi
{"title":"Biohybrid hand actuated by multiple human muscle tissues","authors":"Xinzhu Ren, Yuya Morimoto, Shoji Takeuchi","doi":"10.1126/scirobotics.adr5512","DOIUrl":"https://doi.org/10.1126/scirobotics.adr5512","url":null,"abstract":"Cultured muscle tissue serves as a power source in biohybrid robots that demonstrate diverse motions. However, current designs typically only drive simple substrates on a small scale, limiting flexibility and controllability. To address this, we proposed a biohybrid hand with multijointed fingers powered by multiple muscle tissue actuators (MuMuTAs), bundles of thin muscle tissues. The MuMuTA can provide linear actuation with high contractile force (~8 millinewtons) and high contractile length (~4 millimeters), which can be converted into the flexion of multijointed fingers by a cable-driven mechanism. We successfully powered the biohybrid hand achieving individual control of fingers and a variety of motions using different signaling controls. This study showcases the potential of MuMuTAs as a driving source for advanced biohybrid robotics.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"55 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bioinspired design of a tissue-engineered ray with machine learning
IF 25 1区 计算机科学
Science Robotics Pub Date : 2025-02-12 DOI: 10.1126/scirobotics.adr6472
John F. Zimmerman, Daniel J. Drennan, James Ikeda, Qianru Jin, Herdeline Ann M. Ardoña, Sean L. Kim, Ryoma Ishii, Kevin Kit Parker
{"title":"Bioinspired design of a tissue-engineered ray with machine learning","authors":"John F. Zimmerman, Daniel J. Drennan, James Ikeda, Qianru Jin, Herdeline Ann M. Ardoña, Sean L. Kim, Ryoma Ishii, Kevin Kit Parker","doi":"10.1126/scirobotics.adr6472","DOIUrl":"https://doi.org/10.1126/scirobotics.adr6472","url":null,"abstract":"In biomimetic design, researchers recreate existing biological structures to form functional devices. For biohybrid robotic swimmers assembled with tissue engineering, this is problematic because most devices operate at different length scales than their naturally occurring counterparts, resulting in reduced performance. To overcome these challenges, here, we demonstrate how machine learning–directed optimization (ML-DO) can be used to inform the design of a biohybrid robot, outperforming other nonlinear optimization techniques, such as Bayesian optimization, in the selection of high-performance geometries. We show how this approach can be used to maximize the thrust generated by a tissue-engineered mobuliform miniray. This results in devices that can swim at the millimeter scale while more closely preserving natural locomotive scaling laws. Overall, this work provides a quantitatively rigorous approach for the engineering design of muscular structure-function relationships in an automated fashion.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"65 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A hyperelastic torque-reversal mechanism for soft joints with compression-responsive transient bistability
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-01-29 DOI: 10.1126/scirobotics.ado7696
Woo-Young Choi, Woongbae Kim, Jae-Ryeong Choi, Sung Yol Yu, Seunguk Moon, Yong-Jai Park, Kyu-Jin Cho
{"title":"A hyperelastic torque-reversal mechanism for soft joints with compression-responsive transient bistability","authors":"Woo-Young Choi,&nbsp;Woongbae Kim,&nbsp;Jae-Ryeong Choi,&nbsp;Sung Yol Yu,&nbsp;Seunguk Moon,&nbsp;Yong-Jai Park,&nbsp;Kyu-Jin Cho","doi":"10.1126/scirobotics.ado7696","DOIUrl":"10.1126/scirobotics.ado7696","url":null,"abstract":"<div >Snap-through, a rapid transition of a system from an equilibrium state to a nonadjacent equilibrium state, is a valuable design element of soft devices for converting a monolithic stimulus into systematic responses with impulsive motions. A common way to benefit from snap-through is to embody it within structures and materials, such as bistable structures. Torque-reversal mechanisms discovered in nature, which harness snap-through instability via muscular forces, may have comparative advantages. However, the current intricacy of artificial torque-reversal mechanisms, which require sophisticated kinematics/kinetics, constrains design possibilities for soft joints and devices. Here, we harnessed hyperelasticity to implement a torque-reversal mechanism in a soft joint, generating repetitive cilia-like beating motions through an embedded tendon. The developed hyperelastic torque-reversal mechanism (HeTRM) exhibits transient bistability under a specific compressive displacement/force threshold, with snap-through occurring at the point where the transience ends. To validate the effectiveness of this design principle, we explored the functionalities of HeTRM in energy storage and release, dual modes for impulsive and continuous motion, mechanical fuse, and rapid three-dimensional motions, through proof-of-concept soft machines. We expect that this design principle provides insight into incorporating snap-through behavior in soft machines and may aid in understanding the relationship between torque-reversal mechanisms and bistability.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 98","pages":""},"PeriodicalIF":26.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The case against machine vision for the control of wearable robotics: Challenges for commercial adoption
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-01-29 DOI: 10.1126/scirobotics.adp5005
Keya Ghonasgi, Kyle J. Kaveny, David Langlois, Leifur D. Sigurðarson, Tim A. Swift, Jason Wheeler, Aaron J. Young
{"title":"The case against machine vision for the control of wearable robotics: Challenges for commercial adoption","authors":"Keya Ghonasgi,&nbsp;Kyle J. Kaveny,&nbsp;David Langlois,&nbsp;Leifur D. Sigurðarson,&nbsp;Tim A. Swift,&nbsp;Jason Wheeler,&nbsp;Aaron J. Young","doi":"10.1126/scirobotics.adp5005","DOIUrl":"10.1126/scirobotics.adp5005","url":null,"abstract":"<div >Deploying machine vision for wearable robot control faces challenges in terms of usability, reliability, privacy, and costs.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 98","pages":""},"PeriodicalIF":26.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Light-emitting, self-healing robotic fibers
IF 26.1 1区 计算机科学
Science Robotics Pub Date : 2025-01-29 DOI: 10.1126/scirobotics.adv7933
Melisa Yashinski
{"title":"Light-emitting, self-healing robotic fibers","authors":"Melisa Yashinski","doi":"10.1126/scirobotics.adv7933","DOIUrl":"10.1126/scirobotics.adv7933","url":null,"abstract":"<div >Optical and mechanical self-healing compatibility was achieved in a multilayered electroluminescent robotic soft fiber.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 98","pages":""},"PeriodicalIF":26.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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