Recent research from Rice University’s Kavraki Lab has made important advancements in the realm of robotics and motion planning. With the lab's new hardware and algorithmic discoveries, robots can begin to move into a dynamic, unpredictable environment and make decisions faster and more reactively. Researchers include Clayton Ramsey (pictured), Zachary Kingston and Wil Thomason along with their advisor Lydia E. Kavraki. https://bit.ly/48CmXkA
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Nice writeup about Duke robotics in the Duke I/O Magazine. Explains the breadth of robotics work we are currently doing and embarking on!
Check out out the latest in robotics in Duke MEMS in the new version of I/O Magazine, hot off the presses. From general purpose robots to specialist robots for medicine and space, this article highlights work by Boyuan Chen, Siobhan Oca, and Dan Buckland. Photo cameo by cutest puppy of our dean, Jerome P. Lynch. https://lnkd.in/ePdrkSgt https://lnkd.in/eZCNzJgp Duke University Pratt School of Engineering
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?? Welcome to read the paper "#ObservedControl of #Magnetic Continuum Devices" in Robotics MDPI, by Richard Pratt, Brooke E. Suesser, and Andrew Petruska from Colorado School of Mines. ??Read more at: https://lnkd.in/g9M7av4Z MDPI
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WVU’s Robotics program is a world-class program training the next generation workforce. From toys to advanced manufacturing, we’re driving the future of engineering and innovation #WVU #Robotics #EngineeringExcellence #AdvancedManufacturing #FutureWorkforce #TechInnovation #STEMEducation #Engineering #NextGenEngineers #WorldClassEducation #HighDemandSkills
Our WVUIRL YouTube channel (https://lnkd.in/e3ajzJnC) has received over 200,000 views. 17 videos were mentioned by IEEE Spectrum Robotics Video Friday. We recently created a new playlist on robot failures.
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I’m happy to share our latest publication: 'Perspectives on Intelligence in Soft Robotics'. This work explores different approaches to embedding intelligence into soft robots and bringing them into real-world scenarios. It’s exciting to contribute to this important and evolving field! Special thanks to Aimee Sakes, Jovana Jovanova and Barbara Mazzolai for their support and feedback throughout this project. You can read the full paper here: https://lnkd.in/gmJrQMeb. If you’re interested in my research, please find other related publications here:?https://lnkd.in/ggM8ieRn
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In robotics, differences of mere millimeters can make the distinction between "completely unusable" and "superhuman" performance. RFM-1 serves as a physics world model, predicting how robots will manipulate objects and interact with their surroundings. This enables robots to simulate the potential outcomes of various actions when faced with unusual situations in demanding environments. Each clip is generated by RFM-1. Learn more about our physics capabilities: https://lnkd.in/g3VAg2iZ
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Could your business benefit from technologies harnessing robots? At King’s we’re advancing robotics research to push the boundaries of the possible ?? Dr Oya Celiktutan from the Department of Engineering's research into machine learning algorithms is developing human support robots of the future - able to fully perceive and interact with humans and their environment. Learn more ?? https://loom.ly/dkFCX64
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Prof. Yi (Joey) Zhou?from School of Robotics, Hunan University presented?his work Event-based Visual Inertial Velometer?in conference of Robotics: Science and Systems?#RSS2024 at TU Delft. They proposed a novel design of state estimator using event-based cameras and IMU?to solve the motion blur effect by standard camera. With the help of NOKOV #Mocap, the real-world experiments show that the proposed method can achieve state-of-the-art performance in terms of linear velocity estimation accuracy.?Learn more: https://lnkd.in/gy88GxmW
Interview@RSS 2024 | Event-based Visual Inertial Velometer: Novel Design of state estimator by Prof. Zhou Yi
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The October 2024 issue of ASME JMR Journal of Mechanisms and Robotics includes research papers and technical briefs on coupled kinematics, parallel robots and manipulators, multi-degrees-of-freedom joint models, and more. Access the table of contents through the link below! https://lnkd.in/e-5s2iyQ ASME Journal Program #ASMEJMR #mechanisms #robotics
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I am glad to see our research featured in Robotics MDPI! This work draws an analogy between hyper-redundant robots and protein molecules, using advanced numerical integrators to model protein folding dynamics. Thanks to Amal Kacem, and Dr.Alireza Mohammadi for this amazing work. Check out the full paper here: https://lnkd.in/gazubrr8 #Robotics #Research #ProteinFolding #Engineering
?? New paper online "A Numerical Integrator for Kinetostatic Folding of Protein Molecules Modeled as Robots with Hyper #DegreesofFreedom" in Robotics MDPI, by Amal Kacem, Khalil Zbiss and Alireza Mohammadi from University of Michigan-Dearborn. ??Welcome to read: https://lnkd.in/gazubrr8 MDPI
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?? Faculty Spotlight: Edgar Lobaton ?? Discover the innovative work of Edgar Lobaton, a professor in the ECE Department! Dive into his cutting-edge research at the Advanced Robotics and Sensors (ARoS) Lab, where robotics, machine learning and sensor networks converge. ?? Explore topics like autonomous systems, human-robot interaction and advanced sensing solutions in our latest video! ?? Don’t miss out—watch the full video on our YouTube channel and subscribe for more insights into the groundbreaking research at NC State ECE. https://engr.it/3XRzMmb #ThinkAndDo
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