Amazon recently hosted an inaugural PhD communication competition during our annual Robotics Research Symposium, which brought together previously funded professors, PhD students, as well as Amazon engineers and scientists from across the country for a day filled with robotics research presentations, networking, and vibrant discussions. Learn more about our Robotics Symposium at the link below! https://lnkd.in/ew-gjBey (edited)
Amazon Fulfillment Technologies & Robotics’ Post
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One of the structural outcomes of PhenoRob is our new Center for Robotics Bonn at our The University of Bonn.
Our new Center for Robotics at the University of Bonn has been founded in January. The Center brings together the research groups and faculties working on robotics, especially in engineering and computer science. We are conducting cutting-edge collaborative research on and with intelligent autonomous robots such as through the DFG Cluster of Excellence PhenoRob. The Center for Robotics also supports innovative educational courses, and we will start a new cross-faculty Masters of Mobile Robotics with first enrollment possibilities for 2025. The founding team comprises Cyrill Stachniss, Sven Behnke, Maren Bennewitz, Juergen Gall, Heiner Kuhlmann, Chris McCool, Jens Behley, Lasse Klingbeil, and Raphael Memmesheimer. We are bringing together six strong research groups from different faculties making substantial contributions to robotics. More at: https://lnkd.in/eWeD33mC #UniBonn #CenterForRobotics #PhenoRob #StachnissLab
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Director of Innovation Center and Professor of the Practice, Department of Mechanical Engineering, School of Engineering and Computing at Fairfield University
🚀 Another Exciting Milestone Achieved in our Industrial Automation Lab at Fairfield University School of Engineering & Computing 🚀 My summer research student, Michaela Nanna, has accomplished a significant milestone in our robotic vision project in the Summer Research Residency Program at Fairfield University. She successfully utilized a vision camera, set it up, and coded it to identify the location of a workpiece and subsequently move the robot arm to that location. 🎯🤖 Check out the video below where Michaela explains the process in detail! 👇📽️ #Research #Automation #Robotics #Innovation #Engineering #VisionSystems
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Life update! I'm thrilled to share that I have joined the PhD program in Robotics at the University of California, Santa Cruz! My research focus will be Computer Vision for Robotics, and I am specifically interested in exploring applications for manipulators and end effectors. Carrying forward my learnings from the University of Maryland, I look forward to diving deeper and developing more intelligent and dexterous algorithms for robots. If you're working in robotics, computer vision, or a related field, I'd love to connect and explore potential collaborations! #UCSantaCruz #GoSlugs #Robotics #ComputerVision #NewChapter
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Follow along with our lab page to find out more about what our research aims to do!
Meet the Robotics and Autonomous Systems Lab (RASL) at Vanderbilt University, where cutting-edge technology meets real-world impact. At RASL, our mission is to develop new generations of robots and intelligent systems that interact with people smoothly and naturally. Our interdisciplinary collaborations bring together experts from engineering, computer science, psychology, and healthcare. By working closely with this diverse team, we turn cutting-edge research into practical solutions that address real-world challenges. Our projects focus on empowering neurodivergent individuals across various stages of life and reducing apathy and loneliness in older adults with mild cognitive impairment. Follow us to stay updated on our ongoing projects. We look forward to sharing our research with you! #mechanicalengineering
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Opportunity
Assistant Professor @ Syddansk Universitet | Sustainable Robotics | PhD in Software Engineering and Robotics
Two PhD positions in software and robotics within the project “Fast and Efficient Robotic Automation via Re-use of Data” are available at the University of Southern Denmark! https://lnkd.in/eaaYJni4
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Happy to share another proud moment, my amazing master’s student Ho Jin Choi not only successfully defended his thesis but was also selected as the winner for the Outstanding Master’s Research award in MEAM from Penn Engineering!!! During his research in my lab Ho Jin Choi worked on a variety of projects at the intersection of computational geometry, perception, intent estimation and control for interactive robots. As a showcase of his excellence in research, he is first author of two (of the five) papers we will be presenting at #ICRA next week: 📝Paper 1: Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models https://lnkd.in/e-RzXrU2 🎥 https://lnkd.in/eX_cKy3b 📝Paper 2: On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control https://lnkd.in/eB4svgM3 🎥 https://lnkd.in/eD3hr8iV #robotics #humanrobotinteraction #assistiverobotics #interactiverobots
Congratulations Ho Jin Choi, who has successfully defended his master’s thesis titled “Gaussian Process-Based Active Exploration Strategies in Vision and Touch” under the advisory of Nadia Figueroa, Shalini and Rajeev Misra Presidential Assistant Professor in MEAM. Choi’s research presents innovative methods for enhancing the capabilities of robots in perceiving and interacting with their surroundings, marking a significant contribution to the robotics field. "It was challenging, but it felt amazing to work towards a common goal and showcase our contributions to the broader community," says Choi. "The teamwork and dedication from everyone involved were truly inspiring." https://lnkd.in/e2reVWur
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ACENTAURI team is thrilled to announce the arrival of Professor Rafael Murrieta-Cid ! 🌟 Professor Murrieta, from Centro de Investigación en Matemáticas (CIMAT), is joining the team as visiting researcher to work on his project on robot motion planning with sensory feedback and learning. His research focus on improving sampling-based motion planners, which are known to be the most efficient techniques for finding collision-free trajectories for complex robotics systems in environments with obstacles. However, those methods assume a known and static map and they don't offer trajectory correction online. To overcome these limitations, Professor Murrieta is investigating a joint approach including visual servoing, also including sensor feedback to release the constraint of an already known environment. Additionally, he will explore the possibility of merging that approach with learning-based techniques. It is an honor to welcome Professor Murrieta and to share our knowledge reciprocally to push the boundary of robotics together. If you want to join as well the team or you need more information, please visit our website https://lnkd.in/eJmhTJca. #Research #Robotics #MotionPlanning #VisualServoing
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Dr Thomas Howard, Associate Professor of Electrical and Computer Engineering, and his students describe the work they do in Robotics and Artificial Intelligence Laboratory (RAIL), University of Rochester. Watch YouTube video here: #robotics #electricalengineering #artficialintelligence
Robotics and Artificial Intelligence Laboratory at the University of Rochester
https://www.youtube.com/
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Trading off between model complexity and horizon length is tricky in any computation-limited control setting. In this work, we get both long horizons in general and high fidelity models when needed by using our "Adaptive Complexity MPC" framework. Great job, Joe Norby, Ardalan Tajbakhsh, and Yanhao Yang! Paper: https://lnkd.in/eFcctT5E #robot #robotics #leggedrobot #mpc #quadruped #controls #controlsystem #trajectoryoptimization
In a recent T-RO paper, researchers from Carnegie Mellon University's College of Engineering and Carnegie Mellon University Robotics Institute developed a novel control algorithm that can reason about model complexity while ensuring feasibility and stability. https://lnkd.in/d6HN-MZs Paper title: Adaptive Complexity Model Predictive Control Paper authors: Joe Norby, Ardalan Tajbakhsh, Yanhao Yang, and Aaron Johnson #ComputationalModeling #HeuristicAlgorithms #LeggedRobots #UnderactuatedRobots
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In a recent T-RO paper, researchers from Carnegie Mellon University's College of Engineering and Carnegie Mellon University Robotics Institute developed a novel control algorithm that can reason about model complexity while ensuring feasibility and stability. https://lnkd.in/d6HN-MZs Paper title: Adaptive Complexity Model Predictive Control Paper authors: Joe Norby, Ardalan Tajbakhsh, Yanhao Yang, and Aaron Johnson #ComputationalModeling #HeuristicAlgorithms #LeggedRobots #UnderactuatedRobots
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