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Sensing

by   -   March 19, 2021
The new technology pairs wireless sensing with artificial intelligence to determine when a patient is using an insulin pen or inhaler, and it flags potential errors in the patient’s administration method. | Image: courtery of the researchers

From swallowing pills to injecting insulin, patients frequently administer their own medication. But they don’t always get it right. Improper adherence to doctors’ orders is commonplace, accounting for thousands of deaths and billions of dollars in medical costs annually. MIT researchers have developed a system to reduce those numbers for some types of medications.

interview by   -   March 12, 2021

FieldPrinter by Dusty Robotics

Abate interviews Tessa Lau on her startup Dusty Robotics which is innovating in the field of construction.

At Dusty Robotics, they developed a robot to automate the laying of floor plans on the floors in construction sites. Typically, this is done manually using a tape measure and reading printed out plans. This difficult task can often take a team of two a week to complete. Time-consuming tasks like this are incredibly expensive on a construction site where multiple different teams are waiting on this task to complete. Any errors in this process are even more time-consuming to fix. By using a robot to automatically convert 3d models of building plans into markings on the floors, the amount of time and errors are dramatically reduced.

Humanoid robot hand. Futuristic cyborg concept.

While modern cameras provide machines with a very well-developed sense of vision, robots still lack such a comprehensive solution for their sense of touch. At ETH Zurich, in the group led by Prof. Raffaello D’Andrea at the Institute for Dynamic Systems and Control, we have developed a tactile sensing principle that allows robots to retrieve rich contact feedback from their interactions with the environment. I recently described our approach in a TEDx talk at the last TEDxZurich. The talk features a tech demo that introduces the novel tactile sensing technology targeting the next generation of soft robotic skins.

interview by   -   February 16, 2021

Kate speaks with Anni Kern, Head of Communication, strategy, and teams at Cybathlon for over four years. She describes the motivation and concepts for the Cybathlon organizations to develop a common platform to remove barriers between people with disabilities, technology developers, and the public. Anni also describes the specifics of Cybathlon competitions and the organization and planning.

 

Interesting discussion with Prof. Ali Khademhosseini, CEO of the Terasaki Institute, and one of the pioneers of the Bioengineering field. Prof. Ali’s journey from Harvard and UCLA to the Terasaki Institute is truly inspiring. What does the institute do to bring a product to the real world? Learn about the design challenges of biomaterials, organs on a chip, and soft robotics in this episode of the IEEE RAS Soft Robotics Podcast.

Interesting discussion with Hod Lipson, head of Creative Machines Lab, Columbia University in New York. Can robots be self-aware? Can they design other robots and self-repair? Why should we evolve robots to do tasks that animals do so well? Why don’t we have useful autonomous robots in the real world yet? Find out Hod’s answers to these questions and updates on VoxCAD development for designing and simulation of soft robots in this episode of the IEEE RAS Soft Robotics Podcast.

Sensor sleeve
Graduate student Moritz Graule demonstrates a fabric arm sleeve with embedded sensors. The sensors detect the small changes in the Graule’s forearm muscle through the fabric. Such a sleeve could be used in everything from virtual reality simulations and sportswear to clinical diagnostics for neurodegenerative diseases like Parkinson’s Disease. Credit: Oluwaseun Araromi/Harvard SEAS

By Leah Burrows / SEAS communications

Newly engineered slinky-like strain sensors for textiles and soft robotic systems survive the washing machine, cars and hammers.

interview by   -   November 15, 2020

 

In this episode, Shihan Lu interviews Jivko Sinapov, Assistant Professor in the Computer Science Department at Tufts University, about his work on behavior-grounded multisensory perception and exploration in robotics. Dr. Sinapov discusses several perspectives on multisensory perception in robotics, including data collection, data fusion, and robot control and planning. He also shares his experience about using robotics for K-12 education.

by   -   October 23, 2020
MorphSensor glasses
An MIT team used MorphSensor to design multiple applications, including a pair of glasses that monitor light absorption to protect eye health. Credits: Photo courtesy of the researchers.

By Rachel Gordon

We’ve come a long way since the first 3D-printed item came to us by way of an eye wash cup, to now being able to rapidly fabricate things like car parts, musical instruments, and even biological tissues and organoids

interview by   -   October 19, 2020

In this episode, Abate interviews Josh Lessing, co-founder and CEO of Root AI. At Root AI they are developing a system that tracks data on the farm and autonomously harvests crops using delicate grippers and computer vision. Lessing talks about the path they took to build a product with good market fit and how they brought a venture capital backed startup to market.

interview by   -   August 25, 2020


In this episode, Lauren Klein interviews Gennaro Notimista, a robotics PhD student in the Georgia Robotics and InTelligent Systems Laboratory at Georgia Tech. Gennaro discusses the SlothBot, a solar-powered robot that slowly traverses wires, like its animal namesake, to monitor the environment.

interview by   -   June 29, 2020

Sense Photonics

In this episode, Abate interviews Erin Bishop from Sense Photonics about the technology in their “Solid State” LiDAR sensors that allows them to detect objects more accurately and over a larger field of view than traditional scanning LiDAR. Erin dives into the technical details of Solid State Lidar, discusses the applications and industries of the technology.

interview by   -   May 20, 2020

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.

interview by   -   March 28, 2020

In this episode, Abate interviews David Mindell, co-founder of Humatics. David discusses a system they developed that can detect the location of a special tracking device down to a centimeter level accuracy. They are currently developing a device to detect location down to a millimeter level accuracy. This solves a the core problem of localization for robots. David discusses the technology behind these products and their applications.

by   -   March 19, 2020

Researchers from the University of Zurich and NCCR Robotics have demonstrated a flying robot that can detect and avoid fast-moving objects. A step towards drones that can fly faster in harsh environments, accomplishing more in less time.



Multi-Robot Learning
March 29, 2021


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