GeekWire的动态

Explore Innovation in the Lab During National Robotics Week! As we celebrate National Robotics Week, let's shine a spotlight on the role of robotics in the pursuit of scientific discovery. Many researchers often find themselves stuck in repetitive pipetting tasks - enter modern liquid handling stations. The ideal first step into robotics, the BRAND Liquid Handling Station, is the solution to unlocking the true potential of our laboratories using the power of robotics! ???? #NationalRoboticsWeek #LabAutomation #InnovationInScience

"When notification at the right time is not enough" - Matthias Rehm and my paper is published where we share our lessons learned during the co-creation of a reminder robot with and for people with memory impairment. The robot failed due to a too narrow understanding of reminding. We can see this narrow understanding of reminding (as a trigger-reaction model) in many projects on reminding robots and we hope that our model for a more holistic understanding of reminding can inspire them. You can find the paper here: https://lnkd.in/df4ecCQk Aalborg Robotics Challenge - Human Robot Interaction Lab #HRI #reminderrobots #memoryimpairment

?? Excited to share that I have successfully completed the "Introduction to AI and Mobile Robots" course, offered by German Varsity. This comprehensive course covered key topics including: - AI and Mobile Robots - Robotics Middlewares - Robotics Sensors - Robotics Kinematics - Robotics Collision Avoidance and Control A huge thank you to Professor Dr. rer. nat. Alexander Ferrein and the entire team for their invaluable guidance and support throughout this learning journey. Looking forward to applying these skills in my future projects and contributing to advancements in the field of robotics! #AI #Robotics #ContinuousLearning #GermanVarsity #FHAAchen #ProfessionalDevelopment

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

?? Thrilled to announce the completion of "Modern Robotics Course 2: Robot Kinematics" ?? from Northwestern University! This journey into the fascinating world of robotics kinematics has been both challenging and enlightening. Here's what I delved into: ?? Product of Exponentials Formula: Mastered the art of forward kinematics in both the space frame and end-effector frame, unlocking precision in robot motion. ?? Velocity Kinematics: Explored space and body Jacobians to analyze motion and statics in open chains. Gained insights into singularities and manipulability, crucial for efficient robotic design. ?? Inverse Kinematics: Learned both analytical and numerical approaches, enabling precise control over robotic movements. ?? Closed Chains: Studied forward and inverse kinematics, velocity kinematics, and statics for closed-chain systems, broadening my understanding of complex robotic configurations. This course has deepened my appreciation for the mathematical and practical aspects of robotics and set the stage for tackling even more advanced topics. Excited to apply these skills to innovative projects and explore the endless possibilities in robotics! #Robotics #Kinematics #ModernRobotics #Innovation

New lesson in ML in robotics series is just published. The title of this lesson is "CNNs Case Study on a Robotic Assistive Device". In this tutorial, we will apply CNN on a gait mode recognition problem for a robotic assistive device and see for ourselves how powerful CNNs can get. This lesson is the conclusion to ML in robotics course series. The code for this lesson is shared at the link below: https://lnkd.in/g99bE2Gz https://lnkd.in/gCe4-V2f #cnn #convolutionalneuralnetworks #convolutionalneuralnetwork #deeplearning #machinelearning #gaitmoderecognition #assistiverobot

Robot Learning with Minimal Human Feedback 2024 Fall Robotics Colloquium: Erdem Biyik (USC) https://lnkd.in/g4Xwsd8S

Fusing art and robotics can create a unique and wounderful experience..

Step into the realm of Machine Minds, where robotics becomes an art form, and AI breathes life into metal. This striking image represents the fusion of robotics with the human quest for intelligence beyond our own. How will advanced robotics shape our future, our work, our very humanity? Join the conversation on Machine Minds as we decode the future of robotics, where every gear is a part of the narrative and every narrative drives us toward new horizons. #ImagineAI #TechArt #FutureIsNow #MachineMindsPodcast #TechPodcast #AIRevolution

The ACM Athena Lecturer Award was presented to Maja Matari? for pioneering the field of socially assistive robotics, including groundbreaking research, evaluation, and technology transfer, and foundational work in multi-robot coordination and human-robot interaction. Matari? is also the founding director of the USC Robotics and Autonomous Systems Center, and a Principal Scientist at Google DeepMind. Learn more in this short video: https://bit.ly/3WOL4XP