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Can robots operate effectively underwater? Sea stars may hold the answer
March 17, 2021USC
If you’ve ever watched
Planet Earth, you know the ocean is a wild place to live. The water is teeming with different ecosystems and organisms varying in complexity from an erudite octopus to a sea star. Unexpectedly, it is the sea star, a simple organism characterized by a decentralized nervous system, that offers insights into advanced adaptation to hydrodynamic forces the forces created by water flow.
Researchers from the USC Viterbi School of Engineering found that sea star body shapes enable them to effectively stay attached to surfaces under extreme hydrodynamic loads. The researchers, including the Henry Salvatori Early Career Chair in Aerospace and Mechanical Engineering Mitul Luhar and doctoral student Mark Hermes, found sea stars create a “downforce” due to their shape. This means that instead of being lifted by the flow forces, the sea stars are pushed downward toward the
Which COVID-19 patients end up in the ICU? This new algorithm could figure it out
An algorithm could curb the pandemic s wrecking ball on hospital resources.
California researchers have created an algorithm that uses just five data inputs to predict a patient’s COVID-19 prognosis a big improvement compared to the bad old days of last year.
In the early days of the pandemic, medical professionals reasonably collected various categories of patient data to create a snapshot picture of how ill the patient was and estimate a prognosis. In today’s complicated world of this infectious disease, a bedside tool could help a physician assess a prognosis much faster.
The four-legged robot moves semi-autonomously and is designed to sanitize surfaces and help fight the coronavirus. (Photo Courtesy of Quan Nguyen)
A research team from the USC Viterbi School of Engineering has created a four-legged, semi-autonomous robot to help fight the spread of coronavirus. The robot has been named Legged Agile Smart Efficient Robot for Disinfection (LASER-D) and is able to move on a variety of terrain to sanitize surfaces with a chemical spray-based disinfectant. The machine was created as a research opportunity for master’s students, combining two previous systems: a disinfection robot and a quadruped robot.
LASER-D can currently be controlled from a short distance away, with its vision system being overseen by an operator. The vision system serves as a way for operators to control movement while the robot is in development. The team is currently using a machine learning system to help the robot identify disinfected surfaces and said the robot’s visual
Presented by Dr. Néstor O. Pérez-Arancibia, Assistant Professor, Department of Aerospace and Mechanical Engineering, University of Southern California
Biological machines, in particular insects, still surpass their robotic counterparts in almost every aspect, including power conversion, actuation, sensing, and control. For instance, the most advanced insect-scale microrobots have yet to achieve the capabilities observed in honeybees and beetles. No subgram robot has been reported to autonomously complete tasks that are challenging or useful for humans, and the vision of creating truly autonomous artificial insects will become a reality only once several long-standing challenges are overcome. In this talk, I will present recent results that represent breakthroughs in power, actuation, and control at the subgram scale, which enabled the creation of three new microrobots with unique and important characteristics from the autonomy perspective. First, I will discuss the design, fabrica