Pub Date : 2025-10-29DOI: 10.1126/scirobotics.adu8015
Sihao Sun, Xuerui Wang, Dario Sanalitro, Antonio Franchi, Marco Tognon, Javier Alonso-Mora
Quadrotors can carry slung loads to hard-to-reach locations at high speed. Given that a single quadrotor has limited payload capacities, using a team of quadrotors to collaboratively manipulate the full pose of a heavy object is a scalable and promising solution. However, existing control algorithms for multilifting systems only enable low-speed and low-acceleration operations because of the complex dynamic coupling between quadrotors and the load, limiting their use in time-critical missions such as search and rescue. In this work, we present a solution to substantially enhance the agility of cable-suspended multilifting systems. Unlike traditional cascaded solutions, we introduce a trajectory-based framework that solves the whole-body kinodynamic motion planning problem online, accounting for the dynamic coupling effects and constraints between the quadrotors and the load. The planned trajectory is provided to the quadrotors as a reference in a receding-horizon fashion and is tracked by an onboard controller that observes and compensates for the cable tension. Real-world experiments demonstrate that our framework can achieve at least eight times greater acceleration than state-of-the-art methods to follow agile trajectories. Our method can even perform complex maneuvers such as flying through narrow passages at high speed. In addition, it exhibits high robustness against load uncertainties and wind disturbances and does not require adding any sensors to the load, demonstrating strong practicality.
{"title":"Agile and cooperative aerial manipulation of a cable-suspended load","authors":"Sihao Sun, Xuerui Wang, Dario Sanalitro, Antonio Franchi, Marco Tognon, Javier Alonso-Mora","doi":"10.1126/scirobotics.adu8015","DOIUrl":"10.1126/scirobotics.adu8015","url":null,"abstract":"<div >Quadrotors can carry slung loads to hard-to-reach locations at high speed. Given that a single quadrotor has limited payload capacities, using a team of quadrotors to collaboratively manipulate the full pose of a heavy object is a scalable and promising solution. However, existing control algorithms for multilifting systems only enable low-speed and low-acceleration operations because of the complex dynamic coupling between quadrotors and the load, limiting their use in time-critical missions such as search and rescue. In this work, we present a solution to substantially enhance the agility of cable-suspended multilifting systems. Unlike traditional cascaded solutions, we introduce a trajectory-based framework that solves the whole-body kinodynamic motion planning problem online, accounting for the dynamic coupling effects and constraints between the quadrotors and the load. The planned trajectory is provided to the quadrotors as a reference in a receding-horizon fashion and is tracked by an onboard controller that observes and compensates for the cable tension. Real-world experiments demonstrate that our framework can achieve at least eight times greater acceleration than state-of-the-art methods to follow agile trajectories. Our method can even perform complex maneuvers such as flying through narrow passages at high speed. In addition, it exhibits high robustness against load uncertainties and wind disturbances and does not require adding any sensors to the load, demonstrating strong practicality.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145397470","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}
{"title":"Shared control in assistive robotics: A Cybathlon-winning approach","authors":"Jörn Vogel, Mattias Atzenhofer, Gabriel Quere, Maged Iskandar, Miriam Welser, Felix Schiel, Sebastian Jung, Samuel Bustamante, Werner Friedl, Wout Boerdijk, Freek Stulp, Alin Albu-Schäffer, Annette Hagengruber","doi":"10.1126/scirobotics.aeb6725","DOIUrl":"10.1126/scirobotics.aeb6725","url":null,"abstract":"<div >Team EDAN and pilot Mattias Atzenhofer won the first Assistance Robot Race at Cybathlon 2024.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145402804","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}
Pub Date : 2025-10-22DOI: 10.1126/scirobotics.adu4003
Lucio Pancaldi, Ece Özelçi, Mehdi Ali Gadiri, Julian Raub, Pascal John Mosimann, Mahmut Selman Sakar
Minimally invasive interventions performed inside brain vessels with the synergistic use of microcatheters pushed over guidewires have revolutionized the way aneurysms, strokes, arteriovenous malformations, brain tumors, and other cerebrovascular conditions are being treated. However, a substantial portion of the brain vasculature remains inaccessible because the conventional catheterization technique based on transmitting forces from the proximal to the distal end of the instruments imposes stringent constraints on their diameter and stiffness. Here, we overcame this mechanical barrier by microengineering ultraminiaturized magnetic microcatheters in the form of an inflatable flat tube, making them ultraflexible and capable of harnessing the kinetic energy of blood flow for endovascular navigation. We introduce a compact and versatile magnetic steering platform that is compatible with conventional biplane fluoroscope imaging and demonstrate safe and effortless navigation and tracking of hard-to-reach, distal, tortuous arteries that are as small as 180 micrometers in diameter with a curvature radius as small as 0.69 millimeters. Furthermore, we demonstrate the superselective infusion of contrast and embolic liquid agents, all in a porcine model. These results pave the way to reach, diagnose, and treat currently inaccessible distal arteries that may be at risk of bleeding or feeding a tumor. Our endovascular technology can also be used to selectively target tissues for drug or gene delivery from within the arteries, not only in the central and peripheral nervous systems but also in almost any other organ system, with improved accuracy, speed, and safety.
{"title":"Flow-driven magnetic microcatheter for superselective arterial embolization","authors":"Lucio Pancaldi, Ece Özelçi, Mehdi Ali Gadiri, Julian Raub, Pascal John Mosimann, Mahmut Selman Sakar","doi":"10.1126/scirobotics.adu4003","DOIUrl":"10.1126/scirobotics.adu4003","url":null,"abstract":"<div >Minimally invasive interventions performed inside brain vessels with the synergistic use of microcatheters pushed over guidewires have revolutionized the way aneurysms, strokes, arteriovenous malformations, brain tumors, and other cerebrovascular conditions are being treated. However, a substantial portion of the brain vasculature remains inaccessible because the conventional catheterization technique based on transmitting forces from the proximal to the distal end of the instruments imposes stringent constraints on their diameter and stiffness. Here, we overcame this mechanical barrier by microengineering ultraminiaturized magnetic microcatheters in the form of an inflatable flat tube, making them ultraflexible and capable of harnessing the kinetic energy of blood flow for endovascular navigation. We introduce a compact and versatile magnetic steering platform that is compatible with conventional biplane fluoroscope imaging and demonstrate safe and effortless navigation and tracking of hard-to-reach, distal, tortuous arteries that are as small as 180 micrometers in diameter with a curvature radius as small as 0.69 millimeters. Furthermore, we demonstrate the superselective infusion of contrast and embolic liquid agents, all in a porcine model. These results pave the way to reach, diagnose, and treat currently inaccessible distal arteries that may be at risk of bleeding or feeding a tumor. Our endovascular technology can also be used to selectively target tissues for drug or gene delivery from within the arteries, not only in the central and peripheral nervous systems but also in almost any other organ system, with improved accuracy, speed, and safety.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339473","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}
Pub Date : 2025-10-22DOI: 10.1126/scirobotics.adu3679
Martina Pfeiffer, Fiona Cole, Dongfang Wang, Yonggang Ke, Philip Tinnefeld
DNA origami nanorobots allow for the rational design of nanomachines that respond to environmental stimuli with preprogrammed tasks. To date, this mostly is achieved by constructing two-state switches that, upon activation, change their conformation, resulting in the performance of an operation. Their applicability is often limited to a single, specific stimulus-output combination because of their intrinsic properties as two-state systems only. This makes expanding them further challenging. Here, we addressed this limitation by introducing reconfigurable DNA origami arrays as networks of coupled two-state systems. This universal design strategy enables the integration of various operational units into any two-state system within the nanorobot, allowing it to process multiple stimuli, compute responses using multilevel Boolean logic, and execute a range of operations with controlled order, timing, and spatial position. We anticipate that this strategy will be instrumental in further developing DNA origami nanorobots for applications in various technological fields.
{"title":"Spring-loaded DNA origami arrays as energy-supplied hardware for modular nanorobots","authors":"Martina Pfeiffer, Fiona Cole, Dongfang Wang, Yonggang Ke, Philip Tinnefeld","doi":"10.1126/scirobotics.adu3679","DOIUrl":"10.1126/scirobotics.adu3679","url":null,"abstract":"<div >DNA origami nanorobots allow for the rational design of nanomachines that respond to environmental stimuli with preprogrammed tasks. To date, this mostly is achieved by constructing two-state switches that, upon activation, change their conformation, resulting in the performance of an operation. Their applicability is often limited to a single, specific stimulus-output combination because of their intrinsic properties as two-state systems only. This makes expanding them further challenging. Here, we addressed this limitation by introducing reconfigurable DNA origami arrays as networks of coupled two-state systems. This universal design strategy enables the integration of various operational units into any two-state system within the nanorobot, allowing it to process multiple stimuli, compute responses using multilevel Boolean logic, and execute a range of operations with controlled order, timing, and spatial position. We anticipate that this strategy will be instrumental in further developing DNA origami nanorobots for applications in various technological fields.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339482","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}
Pub Date : 2025-10-22DOI: 10.1126/scirobotics.adw8905
Corey Zheng, Shu Jia
Vision is a critical sensory function for humans, animals, and engineered systems, enabling environmental perception essential for imaging and autonomous operation. Although bioinspired, tunable optical systems have advanced adaptability and performance, challenges remain in achieving biocompatibility, robust yet flexible construction, and specialized multifunctionality. Here, we present a photoresponsive hydrogel soft lens (PHySL) that combines optical tunability, an all-solid configuration, and high resolution. PHySL leverages a dynamic hydrogel actuator that autonomously harnesses optical energy, enabling substantial focal tuning through all-optical control. Beyond mimicking biological vision, the system achieves advanced functionalities, including focus control, wavefront engineering, and optical steering by responding to spatiotemporal light stimuli. PHySL highlights the potential of optically powered soft robotics applied in soft vision systems, autonomous soft robots, adaptive medical devices, and next-generation wearable systems.
{"title":"Bioinspired photoresponsive soft robotic lens","authors":"Corey Zheng, Shu Jia","doi":"10.1126/scirobotics.adw8905","DOIUrl":"10.1126/scirobotics.adw8905","url":null,"abstract":"<div >Vision is a critical sensory function for humans, animals, and engineered systems, enabling environmental perception essential for imaging and autonomous operation. Although bioinspired, tunable optical systems have advanced adaptability and performance, challenges remain in achieving biocompatibility, robust yet flexible construction, and specialized multifunctionality. Here, we present a photoresponsive hydrogel soft lens (PHySL) that combines optical tunability, an all-solid configuration, and high resolution. PHySL leverages a dynamic hydrogel actuator that autonomously harnesses optical energy, enabling substantial focal tuning through all-optical control. Beyond mimicking biological vision, the system achieves advanced functionalities, including focus control, wavefront engineering, and optical steering by responding to spatiotemporal light stimuli. PHySL highlights the potential of optically powered soft robotics applied in soft vision systems, autonomous soft robots, adaptive medical devices, and next-generation wearable systems.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339465","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}
Pub Date : 2025-10-22DOI: 10.1126/scirobotics.adx1367
J. Chen, A. Alexiev, A. Sergnese, N. Fabian, A. Pettinari, Y. Cai, V. Perepelook, K. Schmidt, A. Hayward, A. Guevara, B. Laidlaw, I. Moon, B. Markowitz, I. Ballinger, Z. Yang, C. Rosen, N. Shalabi, S. Owyang, G. Traverso
Acute mesenteric ischemia (AMI) results from insufficient blood flow to the intestines, leading to tissue necrosis with high morbidity and mortality. Diagnosis is often delayed because of nonspecific symptoms that mimic common gastrointestinal conditions. Current diagnostic methods, such as computed tomography and mesenteric angiography, are complex, costly, and invasive, highlighting the need for a rapid, accessible, and minimally invasive alternative. Here, we present FIREFLI (finding ischemia via reflectance of light), a bioinspired, ingestible capsule designed for luminance-based diagnosis of AMI. Upon ingestion, the device activates in the small intestine’s pH environment, emitting pulses from three radially spaced white light-emitting diodes and measuring reflected light across 10 wavelengths. FIREFLI then computes a tissue luminance biomarker, which outperforms color-change biomarkers because of superior intrasubject consistency. The diagnosis is processed onboard and wirelessly transmitted to an external mobile device. In vivo studies in swine (n = 9) demonstrated a diagnostic accuracy of 90%, with a sensitivity of 98% and specificity of 85%. By providing a noninvasive, real-time diagnostic solution, FIREFLI has the potential to facilitate earlier detection and treatment of AMI, ultimately improving patient outcomes.
{"title":"An ingestible capsule for luminance-based diagnosis of mesenteric ischemia","authors":"J. Chen, A. Alexiev, A. Sergnese, N. Fabian, A. Pettinari, Y. Cai, V. Perepelook, K. Schmidt, A. Hayward, A. Guevara, B. Laidlaw, I. Moon, B. Markowitz, I. Ballinger, Z. Yang, C. Rosen, N. Shalabi, S. Owyang, G. Traverso","doi":"10.1126/scirobotics.adx1367","DOIUrl":"10.1126/scirobotics.adx1367","url":null,"abstract":"<div >Acute mesenteric ischemia (AMI) results from insufficient blood flow to the intestines, leading to tissue necrosis with high morbidity and mortality. Diagnosis is often delayed because of nonspecific symptoms that mimic common gastrointestinal conditions. Current diagnostic methods, such as computed tomography and mesenteric angiography, are complex, costly, and invasive, highlighting the need for a rapid, accessible, and minimally invasive alternative. Here, we present FIREFLI (finding ischemia via reflectance of light), a bioinspired, ingestible capsule designed for luminance-based diagnosis of AMI. Upon ingestion, the device activates in the small intestine’s pH environment, emitting pulses from three radially spaced white light-emitting diodes and measuring reflected light across 10 wavelengths. FIREFLI then computes a tissue luminance biomarker, which outperforms color-change biomarkers because of superior intrasubject consistency. The diagnosis is processed onboard and wirelessly transmitted to an external mobile device. In vivo studies in swine (<i>n</i> = 9) demonstrated a diagnostic accuracy of 90%, with a sensitivity of 98% and specificity of 85%. By providing a noninvasive, real-time diagnostic solution, FIREFLI has the potential to facilitate earlier detection and treatment of AMI, ultimately improving patient outcomes.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339092","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}
Pub Date : 2025-10-15DOI: 10.1126/scirobotics.adv1383
Max Linnander, Dustin Goetz, Gregory Reardon, Vijay Kumar, Elliot Hawkes, Yon Visell
Tactile displays that lend tangible form to digital content could transform computing interactions. However, achieving the resolution, speed, and dynamic range needed for perceptual fidelity remains challenging. We present a dynamic tactile display that directly converts projected light into visible and tactile patterns via a photomechanical surface populated with millimeter-scale optotactile pixels. The pixels transduce incident light into mechanical displacements through photostimulated thermal gas expansion, yielding millimeter-scale displacements with response times of 2 to 100 milliseconds. The use of projected light for power transmission and addressing renders these displays highly scalable. We demonstrate optically driven displays with up to 1511 addressable pixels, several times more pixels than prior tactile displays attaining comparable performance. Perceptual studies confirm that these displays can reproduce diverse spatiotemporal tactile patterns with high fidelity. This research establishes a foundation for practical and versatile high-resolution tactile displays driven by light.
{"title":"Tactile displays driven by projected light","authors":"Max Linnander, Dustin Goetz, Gregory Reardon, Vijay Kumar, Elliot Hawkes, Yon Visell","doi":"10.1126/scirobotics.adv1383","DOIUrl":"10.1126/scirobotics.adv1383","url":null,"abstract":"<div >Tactile displays that lend tangible form to digital content could transform computing interactions. However, achieving the resolution, speed, and dynamic range needed for perceptual fidelity remains challenging. We present a dynamic tactile display that directly converts projected light into visible and tactile patterns via a photomechanical surface populated with millimeter-scale optotactile pixels. The pixels transduce incident light into mechanical displacements through photostimulated thermal gas expansion, yielding millimeter-scale displacements with response times of 2 to 100 milliseconds. The use of projected light for power transmission and addressing renders these displays highly scalable. We demonstrate optically driven displays with up to 1511 addressable pixels, several times more pixels than prior tactile displays attaining comparable performance. Perceptual studies confirm that these displays can reproduce diverse spatiotemporal tactile patterns with high fidelity. This research establishes a foundation for practical and versatile high-resolution tactile displays driven by light.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145295091","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}
Pub Date : 2025-10-15DOI: 10.1126/scirobotics.adv4408
Xiangxiao Liu, Matthew D. Loring, Luca Zunino, Kaitlyn E. Fouke, François A. Longchamp, Alexandre Bernardino, Auke J. Ijspeert, Eva A. Naumann
Brains evolve within specific sensory and physical environments, yet neuroscience has traditionally focused on studying neural circuits in isolation. Understanding of their function requires integrative brain-body testing in realistic contexts. To investigate the neural and biomechanical mechanisms of sensorimotor transformations, we constructed realistic neuromechanical simulations (simZFish) of the zebrafish optomotor response, a visual stabilization behavior. By computationally reproducing the body mechanics, physical body-water interactions, hydrodynamics, visual environments, and experimentally derived neural network architectures, we closely replicated the behavior of real larval zebrafish. Through systematic manipulation of physiological and circuit connectivity features, impossible in biological experiments, we demonstrate how embodiment shapes neural activity, circuit architecture, and behavior. Changing lens properties and retinal connectivity revealed why the lower posterior visual field drives optimal optomotor responses in the simZFish, explaining receptive field properties observed in real zebrafish. When challenged with novel visual stimuli, the simZFish predicted previously unknown neuronal response types, which we identified via two-photon calcium imaging in the live brains of real zebrafish and incorporated to update the simZFish neural network. In virtual rivers, the simZFish performed rheotaxis autonomously by using current-induced optic flow patterns as navigational cues, compensating for the simulated water flow. Last, experiments with a physical robot (ZBot) validated the role of embodied sensorimotor circuits in maintaining position in a real river with complex fluid dynamics and visual environments. By iterating between simulations, behavioral observations, neural imaging, and robotic testing, we demonstrate the power of integrative approaches to investigating sensorimotor processing, providing insights into embodied neural circuit functions.
{"title":"Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors","authors":"Xiangxiao Liu, Matthew D. Loring, Luca Zunino, Kaitlyn E. Fouke, François A. Longchamp, Alexandre Bernardino, Auke J. Ijspeert, Eva A. Naumann","doi":"10.1126/scirobotics.adv4408","DOIUrl":"10.1126/scirobotics.adv4408","url":null,"abstract":"<div >Brains evolve within specific sensory and physical environments, yet neuroscience has traditionally focused on studying neural circuits in isolation. Understanding of their function requires integrative brain-body testing in realistic contexts. To investigate the neural and biomechanical mechanisms of sensorimotor transformations, we constructed realistic neuromechanical simulations (simZFish) of the zebrafish optomotor response, a visual stabilization behavior. By computationally reproducing the body mechanics, physical body-water interactions, hydrodynamics, visual environments, and experimentally derived neural network architectures, we closely replicated the behavior of real larval zebrafish. Through systematic manipulation of physiological and circuit connectivity features, impossible in biological experiments, we demonstrate how embodiment shapes neural activity, circuit architecture, and behavior. Changing lens properties and retinal connectivity revealed why the lower posterior visual field drives optimal optomotor responses in the simZFish, explaining receptive field properties observed in real zebrafish. When challenged with novel visual stimuli, the simZFish predicted previously unknown neuronal response types, which we identified via two-photon calcium imaging in the live brains of real zebrafish and incorporated to update the simZFish neural network. In virtual rivers, the simZFish performed rheotaxis autonomously by using current-induced optic flow patterns as navigational cues, compensating for the simulated water flow. Last, experiments with a physical robot (ZBot) validated the role of embodied sensorimotor circuits in maintaining position in a real river with complex fluid dynamics and visual environments. By iterating between simulations, behavioral observations, neural imaging, and robotic testing, we demonstrate the power of integrative approaches to investigating sensorimotor processing, providing insights into embodied neural circuit functions.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 107","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145295966","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}
Pub Date : 2025-09-24DOI: 10.1126/scirobotics.adv4049
Amanda Prorok
The current trend toward generalist robot behaviors with monolithic artificial intelligence (AI) models is unsustainable. I advocate for a paradigm shift that embraces distributed architectures for collective robotic intelligence. A modular “mixture-of-robots” approach with specialized interdependent components can achieve superlinear gains, offering benefits in scalability, adaptability, and learning complex interactive skills.
{"title":"Extending robot minds through collective learning","authors":"Amanda Prorok","doi":"10.1126/scirobotics.adv4049","DOIUrl":"10.1126/scirobotics.adv4049","url":null,"abstract":"<div >The current trend toward generalist robot behaviors with monolithic artificial intelligence (AI) models is unsustainable. I advocate for a paradigm shift that embraces distributed architectures for collective robotic intelligence. A modular “mixture-of-robots” approach with specialized interdependent components can achieve superlinear gains, offering benefits in scalability, adaptability, and learning complex interactive skills.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 106","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.science.org/doi/reader/10.1126/scirobotics.adv4049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145133624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-24DOI: 10.1126/scirobotics.adv7932
Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.
{"title":"Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges","authors":"Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann","doi":"10.1126/scirobotics.adv7932","DOIUrl":"10.1126/scirobotics.adv7932","url":null,"abstract":"<div >Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"10 106","pages":""},"PeriodicalIF":27.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145133623","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}
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