Tag Archives: system
#439333 Rocket Mining System Could Blast Ice ...
Realistically, in-situ resource utilization seems like the only way of sustaining human presence outside of low Earth orbit. This is certainly the case for Mars, and it’s likely also the case for the Moon—even though the Moon is not all that far away (in the context of the solar system). It’s stupendously inefficient to send stuff there, especially when that stuff is, with a little bit of effort, available on the Moon already.
A mix of dust, rocks, and significant concentrations of water ice can be found inside permanently shaded lunar craters at the Moon’s south pole. If that water ice can be extracted, it can be turned into breathable oxygen, rocket fuel, or water for thirsty astronauts. The extraction and purification of this dirty lunar ice is not an easy problem, and NASA is interested in creative solutions that can scale. The agency has launched a competition to solve this lunar ice mining challenge, and one of competitors thinks they can do it with a big robot, some powerful vacuums, and a rocket engine used like a drilling system. (It’s what they call, brace yourself, their Resource Ore Concentrator using Kinetic Energy Targeted Mining—ROCKET M.)
This method disrupts lunar soil with a series of rocket plumes that fluidize ice regolith by exposing it to direct convective heating. It utilizes a 100 lbf rocket engine under a pressurized dome to enable deep cratering more than 2 meters below the lunar surface. During this process, ejecta from multiple rocket firings blasts up into the dome and gets funneled through a vacuum-like system that separates ice particles from the remaining dust and transports it into storage containers.
Unlike traditional mechanical excavators, the rocket mining approach would allow us to access frozen volatiles around boulders, breccia, basalt, and other obstacles. And most importantly, it’s scalable and cost effective. Our system doesn’t require heavy machinery or ongoing maintenance. The stored water can be electrolyzed as needed into oxygen and hydrogen utilizing solar energy to continue powering the rocket engine for more than 5 years of water excavation! This system would also allow us to rapidly excavate desiccated regolith layers that can be collected and used to develop additively manufactured structures.
Despite the horrific backronym (it couldn’t be a space mission without one, right?) the solid team behind this rocket mining system makes me think that it’s not quite as crazy as it sounds. Masten has built a variety of operational rocket systems, and is developing some creative and useful ideas with NASA funding like rockets that can build their own landing pads as they land. Honeybee Robotics has developed hardware for a variety of missions, including Mars missions. And Lunar Outpost were some of the folks behind the MOXIE system on the Perseverance Mars rover.
It’s a little bit tricky to get a sense of how well a concept like this might work. The concept video looks pretty awesome, but there’s certainly a lot of work that needs to be done to prove the rocket mining system out, especially once you get past the component level. It’s good to see that some testing has already been done on Earth to characterize how rocket plumes interact with a simulated icy lunar surface, but managing all the extra dust and rocks that will get blasted up along with the ice particles could be the biggest challenge here, especially for a system that has to excavate a lot of this stuff over a long period of time.
Fortunately, this is all part of what NASA will be evaluating through its Break the Ice Challenge. The Challenge is currently in Phase 1, and while I can’t find any information on Phase 2, the fact that there’s a Phase 1 does imply that the winning team (or teams) might have the opportunity to further prove out their concept in additional challenge phases. The Phase 1 winners are scheduled to be announced on August 13. Continue reading
#439284 A system to benchmark the posture ...
In recent years, roboticists have developed a wide variety of robots with human-like capabilities. This includes robots with bodies that structurally resemble those of humans, also known as humanoid robots. Continue reading
#439110 Robotic Exoskeletons Could One Day Walk ...
Engineers, using artificial intelligence and wearable cameras, now aim to help robotic exoskeletons walk by themselves.
Increasingly, researchers around the world are developing lower-body exoskeletons to help people walk. These are essentially walking robots users can strap to their legs to help them move.
One problem with such exoskeletons: They often depend on manual controls to switch from one mode of locomotion to another, such as from sitting to standing, or standing to walking, or walking on the ground to walking up or down stairs. Relying on joysticks or smartphone apps every time you want to switch the way you want to move can prove awkward and mentally taxing, says Brokoslaw Laschowski, a robotics researcher at the University of Waterloo in Canada.
Scientists are working on automated ways to help exoskeletons recognize when to switch locomotion modes — for instance, using sensors attached to legs that can detect bioelectric signals sent from your brain to your muscles telling them to move. However, this approach comes with a number of challenges, such as how how skin conductivity can change as a person’s skin gets sweatier or dries off.
Now several research groups are experimenting with a new approach: fitting exoskeleton users with wearable cameras to provide the machines with vision data that will let them operate autonomously. Artificial intelligence (AI) software can analyze this data to recognize stairs, doors, and other features of the surrounding environment and calculate how best to respond.
Laschowski leads the ExoNet project, the first open-source database of high-resolution wearable camera images of human locomotion scenarios. It holds more than 5.6 million images of indoor and outdoor real-world walking environments. The team used this data to train deep-learning algorithms; their convolutional neural networks can already automatically recognize different walking environments with 73 percent accuracy “despite the large variance in different surfaces and objects sensed by the wearable camera,” Laschowski notes.
According to Laschowski, a potential limitation of their work their reliance on conventional 2-D images, whereas depth cameras could also capture potentially useful distance data. He and his collaborators ultimately chose not to rely on depth cameras for a number of reasons, including the fact that the accuracy of depth measurements typically degrades in outdoor lighting and with increasing distance, he says.
In similar work, researchers in North Carolina had volunteers with cameras either mounted on their eyeglasses or strapped onto their knees walk through a variety of indoor and outdoor settings to capture the kind of image data exoskeletons might use to see the world around them. The aim? “To automate motion,” says Edgar Lobaton an electrical engineering researcher at North Carolina State University. He says they are focusing on how AI software might reduce uncertainty due to factors such as motion blur or overexposed images “to ensure safe operation. We want to ensure that we can really rely on the vision and AI portion before integrating it into the hardware.”
In the future, Laschowski and his colleagues will focus on improving the accuracy of their environmental analysis software with low computational and memory storage requirements, which are important for onboard, real-time operations on robotic exoskeletons. Lobaton and his team also seek to account for uncertainty introduced into their visual systems by movements .
Ultimately, the ExoNet researchers want to explore how AI software can transmit commands to exoskeletons so they can perform tasks such as climbing stairs or avoiding obstacles based on a system’s analysis of a user's current movements and the upcoming terrain. With autonomous cars as inspiration, they are seeking to develop autonomous exoskeletons that can handle the walking task without human input, Laschowski says.
However, Laschowski adds, “User safety is of the utmost importance, especially considering that we're working with individuals with mobility impairments,” resulting perhaps from advanced age or physical disabilities.
“The exoskeleton user will always have the ability to override the system should the classification algorithm or controller make a wrong decision.” Continue reading