Archive 28.06.2022

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Open-source and open hardware autonomous quadrotor flies fast and avoids obstacles

A team of researchers at the University of Zurich, has developed a highly agile quadrotor drone that is able to avoid obstacles and carry out trajectory tracking. In their paper published in the journal Science Robotics, the group describes how they designed their drone, what they put into it and how well it worked when tested.

At the forefront of building with biology

Ritu Raman, the d’Arbeloff Career Development Assistant Professor of Mechanical Engineering, focuses on building with biology, using living cells. Photo: David Sella

By Daniel de Wolff | MIT Industrial Liaison Program

It would seem that engineering is in Ritu Raman’s blood. Her mother is a chemical engineer, her father is a mechanical engineer, and her grandfather is a civil engineer. A common thread among her childhood experiences was witnessing firsthand the beneficial impact that engineering careers could have on communities. One of her earliest memories is watching her parents build communication towers to connect the rural villages of Kenya to the global infrastructure. She recalls the excitement she felt watching the emergence of a physical manifestation of innovation that would have a lasting positive impact on the community.  

Raman is, as she puts it, “a mechanical engineer through and through.” She earned her BS, MS, and PhD in mechanical engineering. Her postdoc at MIT was funded by a L’Oréal USA for Women in Science Fellowship and a Ford Foundation Fellowship from the National Academies of Sciences Engineering and Medicine.

Today, Ritu Raman leads the Raman Lab and is an assistant professor in the Department of Mechanical Engineering. But Raman is not tied to traditional notions of what mechanical engineers should be building or the materials typically associated with the field. “As a mechanical engineer, I’ve pushed back against the idea that people in my field only build cars and rockets from metals, polymers, and ceramics. I’m interested in building with biology, with living cells,” she says.

Our machines, from our phones to our cars, are designed with very specific purposes. And they aren’t cheap. But a dropped phone or a crashed car could mean the end of it, or at the very least an expensive repair bill. For the most part, that isn’t the case with our bodies. Biological materials have an unparalleled ability to sense, process, and respond to their environment in real-time. “As humans, if we cut our skin or if we fall, we’re able to heal,” says Raman. “So, I started wondering, ‘Why aren’t engineers building with the materials that have these dynamically responsive capabilities?’”

These days, Raman is focused on building actuators (devices that provide movement) powered by neurons and skeletal muscle that can teach us more about how we move and how we navigate the world. Specifically, she’s creating millimeter-scale models of skeletal muscle controlled by the motor neurons that help us plan and execute movement as well as the sensory neurons that tell us how to respond to dynamic changes in our environment.

Eventually, her actuators may guide the way to building better robots. Today, even our most advanced robots are a far cry from being able to reproduce human motion — our ability to run, leap, pivot on a dime, and change direction. But bioengineered muscle made in Raman’s lab has the potential to create robots that are more dynamically responsive to their environments.

Using a semi-autonomous robot to understand the psychological connections between machine and user

Humans have long been known to sympathize with the machines or computer representations they operate. Whether driving a car or directing a video game avatar, people are more likely to identify with something that they feel in control of. However, how the autonomous behavior of the robots affects their operators is not known. Now, researchers from Japan have found that when a person controls only a part of the body of a semi-autonomous robot, they are influenced by the robot's expressed "attitudes."

Supernumerary virtual robotic arms can feel like part of the body

Research teams at the University of Tokyo, Keio University and Toyohashi University of Technology in Japan have developed a virtual robotic limb system which can be operated by users' feet in a virtual environment as extra, or supernumerary, limbs. After training, users reported feeling like the virtual robotic arms had become part of their own body. Published in Scientific Reports, this study focused on the perceptual changes of the participants, understanding of which can contribute to designing real physical robotic supernumerary limb systems that people can use naturally and freely just like our own bodies.

Hot Robotics Symposium celebrates UK success

An internationally leading robotics initiative that enables academia and industry to find innovative solutions to real world challenges, celebrated its success with a Hot Robotics Symposium hosted across three UK regions last week.

The National Nuclear User Facility (NNUF) for Hot Robotics is a government funded initiative that supports innovation in the nuclear sector by making world-leading testing facilities, sensors and robotic equipment easily accessible to academia and industry.

Ground-breaking, impactful research in robotics and artificial intelligence will benefit the UK’s development of fusion energy as safe, low carbon and sustainable energy source in addition to adjacent sectors such as nuclear decommissioning, space, and mobile applications.

Visitors to UKAEA’s RACE (UK Atomic Energy Authority / Remote Applications in Challenging Environments) in Oxfordshire, the University of Bristol facility in Fenswood Farm (North Somerset), and the National Nuclear Laboratory in Cumbria, were treated to a host of robots in action, tours and a packed speaker programme.

A combination of robotic manipulators, ground, aerial and underwater vehicles along with deployment robots, plant mock-ups, and supporting infrastructure, were all showcased to demonstrate the breadth of the scheme.

Nick Sykes, Head of Operations at UKAEA’s RACE, said: “The Hot Robotics Symposium has provided a fantastic opportunity for academia and industry to learn more about research that takes place at each facility and to see some of the amazing equipment available. The valuable role that robots play in going where humans can’t, has already been proven at powerplants throughout the world and will be key in making fusion energy an environmentally responsible part of the world’s energy supply.”

These facilities support academia and industry in developing and maintaining UK skills to support work in extreme and challenging environments.

Darren Potter, Capability Leader for Plant Intervention at the National Nuclear Laboratory, said: “This was a great opportunity to showcase NNL’s facility at our Workington Laboratory, which holds industrial scale robotics, and accurate replicas of facilities on active plant. As the UK’s national laboratory for nuclear fission, this facility gives access to our unique set of capabilities, enabling ground-breaking nuclear research and development, with an offsite de-risked opportunity for academia and the supply chain to demonstrate new technology, giving users everything they need to explore brand new technologies and solutions.”

An additional benefit of Hot Robotics is to help support the development of scientists and engineers.

Chris Grovenor, Chair of the NNUF Management Group, said: “It was a pleasure to see the progress being made with the NNUF Hot Robotics programme, and I encourage the nuclear academic community to make full use of the funding available to access these world-class facilities.”

To find out more about the NNUF Hot Robotics facilities and equipment, visit: www.hotrobotics.co.uk

Advanced drone technology streamlining mine clearance

Magnetic technology mounted on drones can identify mines and unexploded munitions on land and at sea much more effectively than conventional mine clearance using handheld detectors. The DTU spinout company Umag Solutions has developed an ultra-precise drone magnetometer technology, and documented that in just a few days it can cover an area that either cannot be covered in conventional mine clearance operations or that it would take a month to cover.

Applications Open for Second AWS Robotics Startup Accelerator to Scale Robotics Startups Focused on Automation and IIOT

MassRobotics announces the second cohort for the Amazon Web Services (AWS) Robotics Startup Accelerator delivered by MassRobotics to address the biggest challenges in the automation, robotics and industrial internet-of-things (IIoT) industries.

A deep learning framework to estimate the pose of robotic arms and predict their movements

As robots are gradually introduced into various real-world environments, developers and roboticists will need to ensure that they can safely operate around humans. In recent years, they have introduced various approaches for estimating the positions and predicting the movements of robots in real-time.
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