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#314: High Earth Orbit Robotics, with William Crowe

In this episode, Lilly interviews Dr. William Crowe, CEO of High Earth Orbit (HEO) Robotics. The mission of HEO Robotics is to provide high quality imagery of satellites, space-debris and resource-rich asteroids. Crowe discusses the technical challenges which make robotics and satellites similar like computer vision and controls, and those where traditional robotics approaches aren’t suitable like localization and mobility. He explains new trends in the satellite industry, and the need for high quality imagery.

William Crowe

William Crowe is CEO of High Earth Orbit Robotics, a company that performs health checks on satellites by assessing data on images they take from other satellites. He has a PhD in Astrodynamics, where his research focused on the use of swarms to characterize asteroids, especially those that fly closer than the Moon. William sees a future where we use the resources of space in space to better our Earth.

 

 

Links

Robot jaws show medicated chewing gum could be the future

Medicated chewing gum has been recognized as a new advanced drug delivery method but currently there is no gold standard for testing drugs released from chewing gum in vitro. New research has shown a chewing robot with built-in humanoid jaws could provide opportunities for pharmaceutical companies to develop medicated chewing gum.

Robot jaws show medicated chewing gum could be the future

Medicated chewing gum has been recognized as a new advanced drug delivery method but currently there is no gold standard for testing drugs released from chewing gum in vitro. New research has shown a chewing robot with built-in humanoid jaws could provide opportunities for pharmaceutical companies to develop medicated chewing gum.

A transparent artificial muscle to enable camouflaging in soft robots

The ability to become transparent is a considerable evolutionary advantage, as it allows animals to blend in with their environment, avoid predators and mask their movements. Robots with similar capabilities could be of great value for a number of applications, for instance, aiding surveillance and research that involves observing animals in their natural habitat.

Robotic gripper with soft, sensitive fingers can handle cables with unprecedented dexterity

For humans, it can be challenging to manipulate thin flexible objects like ropes, wires, or cables. But if these problems are hard for humans, they are nearly impossible for robots. As a cable slides between the fingers, its shape is constantly changing, and the robot's fingers must be constantly sensing and adjusting the cable's position and motion.

Conveyors for AMRs are an Effective Way to Automate a Facility

This eBook covers Glide-Line’s conveyor attachments built specifically for AMRs. We go through the many variables that integrators are looking for in a cost-efficient AMR conveyor design, like: - lightweight, yet powerful - high flexibility & configurable -durability & dependability - DC-driven. At Glide-Line we solve problems that other conveyor manufacturers won’t: simplicity – easy to maintain,flexible configurability, creating an efficient, hassle-free customer experience - customizations are normal to meet your needs.

Using a quantum-like model to enable perception in robots with limited sensing capabilities

Over the past few years, researchers have been trying to apply quantum physics theory to a variety of fields, including robotics, biology and cognitive science. Computational techniques that draw inspiration from quantum systems, also known as quantum-like (QL) models, could potentially achieve better performance and more sophisticated capabilities than more conventional approaches.

Using astrocytes to change the behavior of robots controlled by neuromorphic chips

Neurons, specialized cells that transmit nerve impulses, have long been known to be a vital element for the functioning of the human brain. Over the past century, however, neuroscience research has given rise to the false belief that neurons are the only cells that can process and learn information. This misconception or 'neurocomputing dogma' is far from true.
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