We're funding 26 teams with expertise across multiple disciplines and a strong institutional mix, spanning startups, university labs, public research institutions, and large companies. Together, they'll bridge the software-hardware gap in robotics, realising the full potential of more dexterous robots to advance human productivity and welfare.
*Some teams are subject to contract negotiation.
","mediumLayout":false,"fullWidth":false},{"type":"spacer-comp","cssSizeClass":"small","height":0},{"type":"rich-text-content","text":"TA1 | Novel Hardware
\nTaking a co-design and co-delivery approach these teams will produce novel hardware components, manipulators (robot ‘hands’), and approaches for integrating hardware with control. They'll also test these in practice on important real-world problems.
","mediumLayout":false,"fullWidth":false},{"type":"creator-cards","items":[{"title":"UPWARD","description":"The Shadow Robot team will focus on building more dexterous hands for humanoid robots.","teamLead":"Rich Walker, Shadow Robot Company","team":"","text":"The Shadow Robot team will focus on building more dexterous hands for humanoid robots. Human hands have incredible freedom in how they move. Each finger bends at three knuckles, and can move sideways as well, while the thumb can bend and move inwards and the palm can fold up. In all, the human hand has 27 different types of movement (degrees of freedom). A big problem limiting robot dexterity is how to replicate anything approaching this level of flexibility, while keeping the robot hand strong, lightweight and robust.
\nIn the UPWARD project, Shadow Robot is tackling this problem by exploring a new way to use existing electric motors. They’re working in collaboration with Northwestern University and Texas A&M University in the US, who are both members of a National Science Foundation Engineering Research Center dedicated to robot dexterity. Through sharing our expertise, we aim to produce the next generation of robot hands – combining dexterity with strength, light weight and robustness.
","label":"In progress","cardId":"UPWARD","image":{"src":{"mobile":"/media/t3up20uq/robot-dexterity-thumbnail.png?width=300&height=500&format=webp&v=1db37475bc5ffb0","tablet":"/media/t3up20uq/robot-dexterity-thumbnail.png?width=350&height=700&format=webp&v=1db37475bc5ffb0","desktop":"/media/t3up20uq/robot-dexterity-thumbnail.png?width=1200&height=600&format=webp&v=1db37475bc5ffb0"},"alt":"Robot Dexterity Thumbnail","title":""},"mediaType":null,"modules":[{"type":"quote","quote":"\"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\"
","author":"Lorem ipsum ","role":"Programme Directors","image":{"src":"/media/ccqj2m1f/people-at-aria.png?width=600&height=750&format=webp&v=1db4c89d54f34d0","alt":"A photo of Angie Burnett."}}]},{"title":"Biologically Inspired Manipulator for Adaptive Handling and Interaction","description":"","teamLead":"Jelizaveta Konstantinova + Graham Deacon, Ocado Technology","team":"","text":"Jelizaveta + Graham are working to unlock new capabilities in robotic manipulation by designing and validating a bio-inspired, multi-fingered manipulator that’s capable of robust grasping, intricate in-hand manipulation, and highly dexterous environmental interactions. Through AI-guided design, advanced physics-based simulations, and innovative actuation principles, their objective is for the manipulator to achieve task-specific manipulation, pushing the boundaries of robot dexterity. The team is motivated by the urgent need for advancements in robot dexterity in the grocery fulfilment and logistics sectors. Their ultimate aim is to ensure robotic manipulators are capable of handling diverse products with far greater dexterity, precision, and versatility than current models.
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“The most exciting thing about ARIA is their focus on high-impact solutions that could bring major paradigm shifts. This enables us to push for real innovation – like co-evolution methods that can automate the discovery of affordable custom robot designs – moving beyond the limitations of tackling each problem in isolation.”
\nJelizaveta Konstantinova
Ocado Technology
Ed, Nathan, and team are exploring ways to identify the optimal design for next-generation robot dexterity, thereby tackling a fundamental challenge in robotics. Currently, when researchers try to design robots to optimise performance on a given task, they do so manually, with no guarantee that the design is optimal. Inspired by evolutionary biology, they’ll develop software that allows users to specify a task and its constraints, then automatically generate and optimise novel manipulator designs and their controllers. They’ll also create a 3D-printable robot platform for rapid prototyping and a centre for large-scale real-world testing. Their overarching aim is to deliver a framework with which end users can easily design their own robotic solutions for any given task, ultimately automating and democratising the co-design of robotic hardware and control.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"GRIT: Generalisable Robot Intelligence in Tactile scenarios","description":"","teamLead":"Zaki Hussein, Touchlab","team":"Team: Ana Maria Aranda Loureiro, Mairéad Murphy, Vasileios Mitrakos, Vladimir Ivan, Grant Gwyther, Zachary Keane, Faisal Iqbal, Charlie Cameron, Vishal Makode, Touchlab | Roberto Calandra, external consultant","text":"The Touchlab team is developing a modular, high-resolution, generalisable, and tactile electronic skin for robot hands. Current robotic models rely too much on vision, which significantly hinders their dexterity for tasks that require touch, such as picking up keys or searching within a household drawer. By retrofitting robot hands with a scalable, quantum tunnelling-based, thin-film e-skin that’s fully integrated with local readout electronics, this team aims to transform robot manipulation and give robot hands entirely new capabilities. Their vision is to enable robots to interact with the world with high sensitivity, unlocking new possibilities in automation, healthcare, and beyond.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Ada-GO: Adaptive Global Optimisation for Co-Evolving Hardware and Policy Learning","description":"","teamLead":"Rika Antonova, University of Cambridge","team":"Team: PhDs to be announced, University of Cambridge","text":"Rika + team are creating a versatile, global optimisation framework for co-evolving robot hardware – spanning sensors, morphology, actuation, material properties – and the AI software that controls it, using reinforcement learning (RL). Their approach makes this co-evolution process highly efficient by using adaptive simulation and active learning; this will enable developers to deliver far more effective hardware-in-the-loop optimisation. By performing this search at a global level, they aim to uncover novel, low-cost robot designs and powerful RL techniques that majorly outperform existing solutions. Their ultimate aim is to drastically reduce the cost and time needed to customise robots, empowering organisations to easily deploy affordable, purpose-built robots to boost employee productivity and automate difficult and dangerous tasks.
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“The most exciting thing about ARIA is their focus on high-impact solutions that could bring major paradigm shifts. This enables us to push for real innovation – like co-evolution methods that can automate the discovery of affordable custom robot designs – moving beyond the limitations of tackling each problem in isolation.”
\nRika Antonova
University of Cambridge
Jason + team are leveraging the power of large language models (LLMs) to revolutionise robotic manipulator design. They’re aiming to automate the generation of novel, functional manipulator designs by tapping into the vast amounts of design information embedded within LLMs, which have been trained on diverse text data, including descriptions of robots, academic papers, and CAD data. They’ll create bespoke designs for highly dexterous manipulators and validate them through simulation and physical production. The team will also curate high-quality datasets of CAD models, bills of materials, and assembly instructions to refine LLMs, allowing them to blend broad and specialised language capabilities for manipulation design. Their ultimate vision is to enable the rapid creation of sophisticated, custom robot manipulators by transforming textual specifications into complete, production-ready designs.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Generative Design of Dexterous Manipulators","description":"","teamLead":"Josie Hughes, École Polytechnique Fédérale de Lausanne","team":"Team: Jason Liu, Jake Smith, + Christopher Peers, Acuity Robotics","text":"Josie + team have observed that one of the challenges in designing truly dexterous robotic manipulators is the vast number of possible configurations. On that basis, Josie’s team will use foundation and large language models to generate task-specific designs, including for structure, actuators, and materials. Their vision is to fully automate the creation of custom manipulators and ensure they’re complete with instructions for fabrication. Their approach could enable bespoke robotic solutions for tasks as varied as raspberry harvesting and dishwasher unpacking, and could ultimately accelerate their development and deployment.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"OGRES","description":"","teamLead":"Rich Walker, Shadow Robot Company","team":"","text":"The Shadow Robot team is developing a new process for designing robot hands (and, in principle, robot bodies in general). This work draws on both their experience and their data from 25 years of developing the world’s most dexterous robot hands. It will address a number of fundamental challenges in hand design, drawing on insights from biological evolution. Shadow Robot are working with a diverse group of collaborators including experts from Cambridge, Imperial, Bristol and Bath Universities, EPFL in Switzerland, MIT/Harvard spinout MorphoAI, AI research non-profit Basis and simulation start-up VSim. Together, they are combining cutting-edge optimisation and machine learning techniques with decades of practical engineering know-how.
\nThis project has powerful synergies with Shadow Robot’s other ARIA project, UPWARD. The OGRES process will enable us to explore novel design spaces opened up by the new actuation strategies produced in UPWARD and other ARIA projects to create genuinely useful robot hands.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Solution Partner for Robot Dexterity","description":"","teamLead":"Agata Suwala, Manufacturing Technology Centre","team":"Team: Gurpreet Ghataore, Shakeela Cumberbatch, Mahesh Dissanayake, + Anirudha Sengupta, Manufacturing Technology Centre","text":"As a solution partner for this programme, Agata + team will closely support Creators within TA1 Novel Hardware. They’ll provide tailored industrial guidance to maximise the impact of their work, such as through providing insights into applications, real-world use cases and challenges across an array of sectors. By leveraging the MTC’s membership portfolio and cross-sector industrial experience, this team will work to maximise Creators’ outputs, as well as more broadly share advice and knowledge to enable projects to progress.
","label":"","cardId":"","mediaType":null,"modules":[]}]},{"type":"spacer-comp","cssSizeClass":"small","height":0},{"type":"spacer-comp","cssSizeClass":"large","height":0},{"type":"quote","quote":"“We’re excited to work with ARIA – their support presents an excellent opportunity to connect cutting-edge robotics research directly with industry requirements. This will help us to address the urgent demand for innovation in multiple sectors.”
","author":"Jelizaveta Konstantinova","role":"Ocado Technology","image":{"src":"/media/q41e3jyi/robot-dexterity-_-jelizaveta-konstantinova.jpg?width=600&height=750&format=webp&v=1dbcb069454f680","alt":"Robot Dexterity Jelizaveta Konstantinova"}},{"type":"creator-cards","items":[{"title":"Three-Dimensional Force and Temperature Sensing Skins","description":"","teamLead":"Tawfique Hasan, University of Cambridge","team":"Team: Guolin Yun + Zhuo Chen, University of Cambridge","text":"Tawfique + team are developing a next-generation electronic skin (e-skin) for robots, enabling real-time, high-resolution 3D force and temperature sensing. Inspired by human touch, their multiscale structured design allows robots to detect force magnitude and direction, sliding, texture, surface stiffness, and temperature, achieving unprecedented dexterity and precision. By advancing robotic perception, they aim to enhance human-robot collaboration, unlocking new possibilities in surgical robotics, agriculture, precision manufacturing, and AI-driven automation.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"R-ADA: A Rational Automated Design Agent","description":"","teamLead":"Zenna Tavares, Basis Research Institute","team":"Team: Sam Witty, Eli Bingham, Michelangelo Naim, Tim Cooijmans + Cambridge Yang, Basis Research Institute","text":"Zenna + team aim to develop AI technology for robotic design that mimics the workflows of expert robot designers and engineers. Their approach iterates between language model-driven program synthesis of robot design programs with simulation-based feedback on the quality of synthesised designs. Their work will substantially improve the speed and quality of robot design workflows, feeding into their core mission of developing general-purpose AI reasoning technology, then using that technology to solve critical societal challenges.
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\"ARIA has attracted an extremely impressive portfolio of teams with expertise that we otherwise wouldn’t have had access to. Our work will be made substantially better by rich collaboration with experts from other disciplines.\"
\nZenna Tavares
Basis Research Institute
MorphoAI is developing a new paradigm of computer-aided invention to accelerate the design and deployment of next-gen cyber-physical systems. Current design cycles for robots, medical devices, and heavy machinery — not to mention wholesale assembly lines — can take weeks, months, or years. But no matter the complexity of the problem, iteration cycles take up significant time and effort. This team is developing simulation-driven AI tools that allow engineers to (semi-)automatically design and optimise new robotic hardware from high-level specifications, reducing trial-and-error. MorphoAI’s mission is to improve both how engineers design and raise the bar of what engineers can design.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"A New Analytical Framework for Developing Dexterous Soft Robotic Manipulators","description":"","teamLead":"Min Pan, University of Bath","team":"Patrick Keogh, Chris Bowen, Cangxiong Chen, University of Bath | Rika Antonova, University of Cambridge | Andrew Spielberg, MorphoAI","text":"Min’s team aims to create a new analytical framework involving new model- and learning-based approaches and their integration to open new horizons in understanding the behaviours, fundamental characteristics, dynamics, and internal physical interactions of soft manipulators. This new framework focuses on deployable capability and versatility in describing and modelling dexterous manipulators. This work will lead to the creation and exploitation of next-gen intelligent and dexterous soft manipulators in manufacturing, healthcare, assistance, exploration, and rescue, allowing innovation and growth to maximise their economic and societal benefits.
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\"From an agile funding process and a unique collaborative strategy, to now having opportunities to collaborate with Activation Partners, being part of the ARIA universe is exciting and highly motivating for me and my team.\"
\nMin Pan
University of Bath
Motivated by experience building humanoid robots and market demand, WaveDrives has developed and patented the Sarcomere Inspired Linear Actuation (SILA), a novel actuation technology designed to enable human-quality robot movement. Now, Graham + team will miniaturise the SILA technology, while maintaining its efficiency and power density — to provide the muscle-like actuation needed for dexterous robotic manipulators at human scale. Partners at Electrified Automation and Xor Software will bring specialist motor design and electronics development expertise to the project for a cross-functional effort.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"DEXTER – Simulation for Dexterous Manipulation","description":"","teamLead":"Michelle Lu + Kier Storey, Vsim","team":"Team: Thomas Pak, Augustinas Simkus, Bence Rochlitz + Ori Cohen, Vsim","text":"Vsim will create a set of advanced simulation features to accurately simulate tensile sensors, deformable objects, and tendon systems. The team will also provide a Machine learning framework and tools to enable other ARIA Creators to create policies to train robots and refine designs. Their aim is to offer high-performance, accurate simulation technologies coupled with extensive tools to enable other Creators to test, validate, and use AI to optimise designs and control policies. Ultimately, this will act as a fundamental building block for leveraging embodied AI, reducing costs, accelerating R&D, and driving innovation.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Scalable Tactile Sensing Based on Electrical Impedance Tomography for Dexterous Multi-tool Use","description":"","teamLead":"Fumiya Iida, University of Cambridge","team":"Team: Thomas George Thuruthel, University College London + David Hardman, University of Cambridge","text":"Fumiya + team are developing a technological framework for the world's most flexible and scalable tactile perception, using Electrical Impedance Tomography (EIT) for dexterous robot manipulation. They aim to develop a design and manufacturing method for tactile sensor systems that allows well-balanced performances between all major metrics, e.g. high sensory density, large sensory area coverage, high force sensitivity, mechanical robustness, and faster reaction time and learning. They’ll work to achieve task-level metrics and benchmarks, including real-time closed-loop robot control for force-sensitive tool-use manipulation tasks such as screwdrivers, scissors, pliers, and chopsticks.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Synthetic Muscles for Robotic Dexterity","description":"","teamLead":"Rodrigo Alvarez, Elysium Robotic","team":"","text":"Rodrigo will develop high-performance synthetic muscles that mirror human muscles in strength, speed, and agility. Powered by cutting-edge dielectric elastomer microfibers, Elysium’s muscles enable unparalleled dexterity – enough to build a fully capable robotic hand with 20 degrees of freedom – all while being lightweight, energy-efficient, and cost-effective. Current robotic systems can be clumsy, power-hungry, and prohibitively expensive, stalling progress towards advanced agility. Rodrigo’s vision is to break these barriers and usher in an era where robots handle dangerous and difficult tasks across sectors.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Romex: Robot Muscles as Dexterous Linear Actuators","description":"","teamLead":"Guggi Kofod, Pliantics","team":"Team: Rasmus Beck + Reza Nikbakht, Pliantics","text":"Guggi and team will build soft linear actuators, which are the ‘artificial muscles’ that robots need to interact physically with the world. Compared to the servos used today, this team’s actuators will be soft, flexible, lightweight and more efficient. Servo actuators for robotics can be stiff, rigid, heavy, inefficient, and must be managed with careful software programming to become safe for people to interact with. The team’s vision is for their actuators to enable stronger, safer, and more bio-aligned dexterous solutions in robotics, entertainment, automation, and healthcare.
","label":"","cardId":"","mediaType":null,"modules":[]}]},{"type":"spacer-comp","cssSizeClass":"small","height":0},{"type":"spacer-comp","cssSizeClass":"large","height":0},{"type":"quote","quote":"\"From an agile funding process and a unique collaborative strategy, to now having opportunities to collaborate with Activation Partners, being part of the ARIA universe is exciting and highly motivating for me and my team.\"
","author":"Min Pan","role":"University of Bath","image":{"src":"/media/dwuil3vs/min-pan.jpeg?width=600&height=750&format=webp&v=1db9fd706dc0870","alt":"Min Pan"}},{"type":"creator-cards","items":[{"title":"Printed Electronics Components – a new toolbox for the dexterous robot","description":"","teamLead":"Zlatka Stoeva, DZP Technologies Ltd","team":"Team: DZP Technologies","text":"Zlatka will develop novel printed electronic components, creating a toolbox for building dexterous robot manipulators, which are impossible to produce with existing rigid electronics. This requires innovative materials solutions, as well as new scientific models to analyse, simulate, and predict the electrical and electronic properties of the new components. Her vision is to transform the robots of tomorrow by introducing new materials and novel forms of electronics, helping to solve productivity challenges in manufacturing, agriculture, sustainability, and ageing populations.
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\"I’m excited about working with like-minded Creators who dare to explore the unknown and challenge beliefs about the impossible. As a scientist and entrepreneur, being part of this community supports me to think in new and creative ways about science and about building a technology business.\"
\nZlatka Stoeva
DZP Technologies
The ARTHUR hand is a bio-inspired robotic hand. It features soft, deformable contact surfaces and rich tactile sensing, in conjunction with an innovative hierarchical reinforcement learning stack. Udayan’s goal is to build prototypes in the UK, delivering a dual-armed system with a range of dextrous manipulation capabilities that far exceed what’s possible today, and commercialising results with a focus on applications in manufacturing.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Sangtera Joint Actuator","description":"","teamLead":"Tairan Wang, Sangtera, Jakub Kedzierski, MIT Lincoln Laboratory, + Chia-Chun Chung, Cadence Process Consulting","team":"","text":"Sangtera is developing a next-generation robotic actuator by improving the size and reliability of microhydraulic actuators. The human hand’s 27 degrees of freedom allow it to perform precise, complex tasks, but existing robotic hands fall short due to bulky, inefficient actuators. Sangtera’s actuators, powered by surface tension, offer torque densities hundreds of times greater than traditional options, making gearless and compact designs possible. These actuators, having the size of finger joints, will enable robotic hands with bio-aligned dexterity. The team’s vision is to continuously improve the performance, compactness, and cost-effectiveness of these actuators, to transform robotic manipulation across industries.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Pneumatic Overbraided Actuating / Manipulator Components","description":"","teamLead":"Michael Newsam, Stellar Advanced Concepts Ltd","team":"David Newsam, Mike Newsam, + Richard Taylor, Stellar Advanced Concepts Ltd | Philipp Thies, Chris Edwards, Halim Alwi, + Faryal Khalid, University of Exeter | Sebastian Brown, Peninsula Medical Technologies","text":"This project will prototype a next-generation pneumatic artificial muscle (PAM). Air muscles offer numerous benefits for achieving dexterous robots that are safer for interaction with humans and delicate objects, but further progress is needed. Michael and team will develop a novel stacked arrangement that offers high-strength precision grip, positional precision, and force feedback, beyond contemporary soft robotic muscles. This unique approach uses contact forces imparted along overbraided sleeves to allow precise control through internal pressure variations. The team’s mission is to design transformative adaptive structures for next-generation robotic systems and autonomous vehicles.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"MagTecSkin: Novel tactile sensitive electronic skin based on magnetic technology","description":"","teamLead":"Lorenzo Jamone, University College London","team":"Team: Susana Cardoso, INESC Microsystems and Nanotechnologies | Emiliano Bilotti, Imperial College London | Stefan Escaida, Universidad de O'Higgins","text":"Tactile sensing capabilities are crucial for manual dexterity, yet remain beyond the reach of today’s robots. While recently developed robotic skins can measure contact forces accurately, they cannot bend or stretch, and therefore they cannot cover complex robot parts, such as finger joints or deformable links. Lorenzo and team will develop an innovative skin based on magnetic technology that can measure 3D contact forces on multiple contact points, as well as bend and stretch. This will unlock full-cover articulated and soft robots, which will ultimately lead to vastly advanced robot dexterity in manufacturing, logistics, agriculture, healthcare, and beyond.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"DexComp","description":"","teamLead":"Marc Funnell, National Composites Centre","team":"Team: Hayden Cole, Simon Groves, Michael Elkington, Alex Smith, National Composites Centre","text":"This team will develop a supply chain of UK-developed industrial scale robotic solutions that can collaborate, emulate, or even improve the hand tasks and motions of composite experts. To achieve future market demand and maintain competitive manufacturing advantage, the UK needs to scale the rate of composite product production. However, the composite industry is constrained by a finite number of expert composite technicians who need to manually layup and form complex parts to stringent quality controls and accuracy. This constraint provides a unique opportunity for dexterous robotic solutions, which Marc and team are seeking to deliver.
","label":"","cardId":"","mediaType":null,"modules":[]},{"title":"Realising the Future of Dexterous Robotics with Flexible Electrohydraulic Artificial Muscles","description":"","teamLead":"Nicholas Kellaris, Artimus Robotics","team":"Team: Efi Psomopoulou, University of Bristol","text":"Nicholas and Efi aim to develop high-performance, soft artificial muscles called HASEL actuators, which provide transmission-free linear actuation to enable adaptable and cost-effective motion solutions. This project will develop new materials and architectures for HASELs to achieve a step-change in capabilities and realise the holistic performance and versatility required for dexterous manipulators. The team will also explore strategies for integration and control of HASEL actuators to accelerate their incorporation into robotic manipulators.
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\"This programme is unique in how it encourages and actively facilitates collaboration amongst Creators at all levels of development, from fundamental hardware to the simulation, integration, and validation of full solutions. We're thrilled to join this multi-level and cross-disciplinary approach.\"
\nNicholas Kellaris
Artimus Robotics
Matt and team are re-imagining the design of electric actuators for robotics to obtain physical attributes that more closely resemble biological muscle. They’ve been using robot arms for robot manipulation for years, but are consistently held back by the limits of gearboxes in the arms that have them, or in the low strength-to-weight ratio of arms that don’t. Their goal is to unlock bio-aligned strength and dexterity by making an actuator that can be light, fast, and compliant when required, yet also be slow, strong and stiff when appropriate – and be efficient in both modes.
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