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Researchers incorporate computer vision and uncertainty into AI for robotic prosthetics

Researchers have developed new software that can be integrated with existing hardware to enable people using robotic prosthetics or exoskeletons to walk in a safer, more natural manner on different types of terrain. The new framework incorporates computer vision into prosthetic leg control, and includes robust artificial intelligence (AI) algorithms that allow the software to better account for uncertainty.

Observations of robotic swarm behavior can help workers safely navigate disaster sites

Using biologically inspired robotic swarms consisting of large groups of robots that have been programmed to operate cooperatively, much like individuals in an ant or bee colony, scientists from the University of Colorado demonstrate that the locally observed distribution of robots can be correlated to the location of environmental features, such as exits in office-like environments. The study's findings were published in IEEE/CAA Journal of Automatica Sinica.

Using deep learning to give robotic fingertips a sense of touch

Researchers at the University of Bristol have recently trained a deep-neural-network-based model to gather tactile information about 3-D objects. In their paper, published in IEEE Robotics & Automation Magazine, they applied the deep learning technique to a robotic fingertip with sensing capabilities and found that it allowed it to infer more information about its surrounding environment.

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.

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