Category Robotics Classification

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RoboBusiness Direct Online Series

RoboBusiness Direct is built to foster robotics innovation in all its forms, expand robotics business opportunities, and build a community of like-minded problem solvers with the goal of driving the growth of robotics businesses. More than a webinar or virtual event, RoboBusiness Direct is an ongoing, integrated series of presentations and media coverage delivered by brightest minds from the leading robotics and automation companies from around the world - Nuro, FedEx, Lockheed Martin, Samsung, Siemens and more.

Rocos Partners With Boston Dynamics to Upskill Autonomous Spot Robots With Remote Operation – All the Way From New Zealand

The importance of autonomous robots has been highlighted during the COVID-19 pandemic where many have been used to encourage social distancing, clean public spaces and hospitals, and even deliver vital medication.

Bioinspired micro-robot based on white blood cells

A team of scientists from the Max Planck Institute for Intelligent Systems (MPI-IS) in Stuttgart invented a tiny micro-robot that resembles a white blood cell traveling through the circulatory system. It has the shape, the size and the moving capabilities of leukocytes, and could perhaps revolutionize the minimally invasive treatment of illnesses.

Researchers build a fast-moving jumping soft robot

Buckling, the sudden loss of structural stability, is usually the stuff of engineering nightmares. Mechanical buckling means catastrophic failure for every structural system from rockets to soufflés. It's what caused the Deepwater Horizon oil spill in 2010, among numerous other disasters.

#310: RoboBee’s Untethered Flight, with Farrell Helbling

In this episode, Kate Zhou interviews Farrell Helbling, postdoctoral fellow at Harvard Microrobotics lab, who has worked on developing the RoboBee, an insect-inspired robot that is the lightest vehicle to achieve untethered flight. Farrell discusses challenges with building the robot at centimeter-scale as well as integration of sensors and power electronics particularly in considerations with weight trade-offs.

Farrell Helbling

Farrell Helbling is a post doctoral fellow at Harvard University, where she focuses on the systems-level design of the Harvard RoboBee, an insect-scale flapping wing robot. Her research looks at the integration of the control system, sensors, and power electronics within the strict weight and power constraints of the vehicle. Her work led to the first untethered flight of an insect scale vehicle and was recently featured on the cover of Nature. She is the recipient of a NSF Graduate Research Fellowship, a 2018 Rising Star in EECS, and co-author on the IROS 2015 Best Student Paper for an insect-scale, hybrid aerial-aquatic vehicle. Her work on the RoboBee project is also featured at the Boston Museum of Science, World Economic Forum, London Science Museum, and the Smithsonian, as well as in the popular press (PBS NewsHour, The New York Times, Science Friday, BBC, and Wired). She is interested in the codesign of mechanical and electrical systems for mass-, power-, and computation-constrained robots.

Links

Reviewing progress in the development of machine learning-enhanced e-skins

Researchers at University of California, Yale University, Stanford University, University of Cambridge and Seoul National University have recently carried out a study reviewing recent efforts in the development of machine-learning-enhanced electronic skins. Their review paper, published in Science Robotics, outlines how these e-skins could aid the creation of soft robots with touch-like capabilities, while also delineating challenges that are currently preventing their large-scale deployment.

Engineers develop low-cost, high-accuracy GPS-like system for flexible medical robots

Roboticists at the University of California San Diego have developed an affordable, easy to use system to track the location of flexible surgical robots inside the human body. The system performs as well as current state of the art methods, but is much less expensive. Many current methods also require exposure to radiation, while this system does not.
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