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dejanpetkow

Torsional Carbon Nanotube Artificial Muscles - 0 views

  • Actuator materials producing rotation are rare and demonstrated rotations are small, though rotary systems like electric motors, pumps, turbines and compressors are widely needed and utilized. Present motors can be rather complex and, therefore, difficult to miniaturize. We show that a short electrolyte-filled twist spun carbon nanotube yarn, which is much thinner than a human hair, functions as a torsional artificial muscle in a simple three-electrode electrochemical system, providing a reversible 15,000° rotation and 590 revolutions/minute. A hydrostatic actuation mechanism, like for nature’s muscular hydrostats, explains the simultaneous occurrence of lengthwise contraction and torsional rotation during the yarn volume increase caused by electrochemical double-layer charge injection. Use of a torsional yarn muscle as a mixer for a fluidic chip is demonstrated.
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    I have no access to the pdf, but abstract sounds interesting.
Tom Gheysens

Movement without muscles study in insects could inspire robot and prosthetic limb devel... - 0 views

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    Neurobiologists from the University of Leicester have shown that insect limbs can move without muscles - a finding that may provide engineers with new ways to improve the control of robotic and prosthetic limbs
LeopoldS

Artificial Muscle makes touchy devices burlier - 0 views

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    reminds me of our small study a few years ago ... why didn't we come up with this idea?
ESA ACT

Printable robots - 0 views

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    and electro-actuated polymers, EAP, (synthetic muscles).
anonymous

OpenBCI - 5 views

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    "The OpenBCI Board is a versatile and affordable analog-to-digital converter that can be used to sample electrical brain activity (EEG), muscle activity (EMG), heart rate (EKG), and more" Perhaps some work or ideas on brainwave analysis would be interesting ? (User interfaces, mood classifier, detection of various alertness levels )
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    lets get one? And then link to the Oculus Rift to control it with my brain.. I want to think about running on Mars and then be doing it :)
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    It's not worth it for $400... The chips are seriously nothing special and you can get a lot better for a lot cheaper. I would just get the electrodes and link them to a RPi or an Odroid or something.
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    True, but the selling feature here is that they take care of that stuff and sell it for 400$. Lets say the hardware is 100USD, then an RF-grade person here here has to do the coding, interfacing, testing within roughly (300/16eur/hour) 20 hours to break even and even then the interface is much nicer in their case.
fichbio

A 3D bioprinting - 5 views

http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3413.html#access Amazing things happen, development of 3D bioprinting technology opens a new era in restoring people after serious injuries...

Biotechnology bioengineering transhumanism

started by fichbio on 17 Feb 16 no follow-up yet
Luke O'Connor

Soft autonomous earthworm robot at MIT - 0 views

shared by Luke O'Connor on 20 Aug 12 - No Cached
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    Artificial earthworm made from a mesh tube and shape memory alloy muscles.
Thijs Versloot

Computer simulations of muscle-based biped locomotion (movie) - 3 views

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    Optimization of locomotion on a range of different bipeds with nice visualisation and funny movie (definitely watch at 3:25 !!) Also simulations at lower/higher gravity
Guido de Croon

Will robots be smarter than humans by 2029? - 2 views

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    Nice discussion about the singularity. Made me think of drinking coffee with Luis... It raises some issues such as the necessity of embodiment, etc.
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    "Kurzweilians"... LOL. Still not sold on embodiment, btw.
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    The biggest problem with embodiment is that, since the passive walkers (with which it all started), it hasn't delivered anything really interesting...
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    The problem with embodiment is that it's done wrong. Embodiment needs to be treated like big data. More sensors, more data, more processing. Just putting a computer in a robot with a camera and microphone is not embodiment.
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    I like how he attacks Moore's Law. It always looks a bit naive to me if people start to (ab)use it to make their point. No strong opinion about embodiment.
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    @Paul: How would embodiment be done RIGHT?
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    Embodiment has some obvious advantages. For example, in the vision domain many hard problems become easy when you have a body with which you can take actions (like looking at an object you don't immediately recognize from a different angle) - a point already made by researchers such as Aloimonos.and Ballard in the end 80s / beginning 90s. However, embodiment goes further than gathering information and "mental" recognition. In this respect, the evolutionary robotics work by for example Beer is interesting, where an agent discriminates between diamonds and circles by avoiding one and catching the other, without there being a clear "moment" in which the recognition takes place. "Recognition" is a behavioral property there, for which embodiment is obviously important. With embodiment the effort for recognizing an object behaviorally can be divided between the brain and the body, resulting in less computation for the brain. Also the article "Behavioural Categorisation: Behaviour makes up for bad vision" is interesting in this respect. In the field of embodied cognitive science, some say that recognition is constituted by the activation of sensorimotor correlations. I wonder to which extent this is true, and if it is valid for extremely simple creatures to more advanced ones, but it is an interesting idea nonetheless. This being said, if "embodiment" implies having a physical body, then I would argue that it is not a necessary requirement for intelligence. "Situatedness", being able to take (virtual or real) "actions" that influence the "inputs", may be.
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    @Paul While I completely agree about the "embodiment done wrong" (or at least "not exactly correct") part, what you say goes exactly against one of the major claims which are connected with the notion of embodiment (google for "representational bottleneck"). The fact is your brain does *not* have resources to deal with big data. The idea therefore is that it is the body what helps to deal with what to a computer scientist appears like "big data". Understanding how this happens is key. Whether it is the problem of scale or of actually understanding what happens should be quite conclusively shown by the outcomes of the Blue Brain project.
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    Wouldn't one expect that to produce consciousness (even in a lower form) an approach resembling that of nature would be essential? All animals grow from a very simple initial state (just a few cells) and have only a very limited number of sensors AND processing units. This would allow for a fairly simple way to create simple neural networks and to start up stable neural excitation patterns. Over time as complexity of the body (sensors, processors, actuators) increases the system should be able to adapt in a continuous manner and increase its degree of self-awareness and consciousness. On the other hand, building a simulated brain that resembles (parts of) the human one in its final state seems to me like taking a person who is just dead and trying to restart the brain by means of electric shocks.
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    Actually on a neuronal level all information gets processed. Not all of it makes it into "conscious" processing or attention. Whatever makes it into conscious processing is a highly reduced representation of the data you get. However that doesn't get lost. Basic, low processed data forms the basis of proprioception and reflexes. Every step you take is a macro command your brain issues to the intricate sensory-motor system that puts your legs in motion by actuating every muscle and correcting every step deviation from its desired trajectory using the complicated system of nerve endings and motor commands. Reflexes which were build over the years, as those massive amounts of data slowly get integrated into the nervous system and the the incipient parts of the brain. But without all those sensors scattered throughout the body, all the little inputs in massive amounts that slowly get filtered through, you would not be able to experience your body, and experience the world. Every concept that you conjure up from your mind is a sort of loose association of your sensorimotor input. How can a robot understand the concept of a strawberry if all it can perceive of it is its shape and color and maybe the sound that it makes as it gets squished? How can you understand the "abstract" notion of strawberry without the incredibly sensible tactile feel, without the act of ripping off the stem, without the motor action of taking it to our mouths, without its texture and taste? When we as humans summon the strawberry thought, all of these concepts and ideas converge (distributed throughout the neurons in our minds) to form this abstract concept formed out of all of these many many correlations. A robot with no touch, no taste, no delicate articulate motions, no "serious" way to interact with and perceive its environment, no massive flow of information from which to chose and and reduce, will never attain human level intelligence. That's point 1. Point 2 is that mere pattern recogn
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    All information *that gets processed* gets processed but now we arrived at a tautology. The whole problem is ultimately nobody knows what gets processed (not to mention how). In fact an absolute statement "all information" gets processed is very easy to dismiss because the characteristics of our sensors are such that a lot of information is filtered out already at the input level (e.g. eyes). I'm not saying it's not a valid and even interesting assumption, but it's still just an assumption and the next step is to explore scientifically where it leads you. And until you show its superiority experimentally it's as good as all other alternative assumptions you can make. I only wanted to point out is that "more processing" is not exactly compatible with some of the fundamental assumptions of the embodiment. I recommend Wilson, 2002 as a crash course.
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    These deal with different things in human intelligence. One is the depth of the intelligence (how much of the bigger picture can you see, how abstract can you form concept and ideas), another is the breadth of the intelligence (how well can you actually generalize, how encompassing those concepts are and what is the level of detail in which you perceive all the information you have) and another is the relevance of the information (this is where the embodiment comes in. What you do is to a purpose, tied into the environment and ultimately linked to survival). As far as I see it, these form the pillars of human intelligence, and of the intelligence of biological beings. They are quite contradictory to each other mainly due to physical constraints (such as for example energy usage, and training time). "More processing" is not exactly compatible with some aspects of embodiment, but it is important for human level intelligence. Embodiment is necessary for establishing an environmental context of actions, a constraint space if you will, failure of human minds (i.e. schizophrenia) is ultimately a failure of perceived embodiment. What we do know is that we perform a lot of compression and a lot of integration on a lot of data in an environmental coupling. Imo, take any of these parts out, and you cannot attain human+ intelligence. Vary the quantities and you'll obtain different manifestations of intelligence, from cockroach to cat to google to random quake bot. Increase them all beyond human levels and you're on your way towards the singularity.
ESA ACT

Giant-Stroke, Superelastic Carbon Nanotube Aerogel Muscles -- Aliev et al. 323 (5921): ... - 0 views

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    Looks very interesting: Anisotropic stiffness and tensile strenght, actuation, ...
ESA ACT

UCLA researchers create self-healing, power-generating artificial muscle - Engadget - 0 views

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    Luca and Tobias - have a look at this ... LS
jcunha

Medical Xpress: Newly discovered hormone mimics the effects of exercise - 0 views

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    "Hormones are molecules that act as the body's signals, triggering various physiological responses. The newly discovered hormone, dubbed "MOTS-c," primarily targets muscle tissue, where it restores insulin sensitivity, counteracting diet-induced and age-dependent insulin resistance." Good news for long distance space travelers?
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    as well as lazy couch potatoes
jcunha

Experimental evidence for new Flexo-electric nanomaterial - 1 views

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    A new experiment proved the existence of a new effect in nanomaterials: flexo-electric effect. The material has built-in mechanical tension that changes shape when you apply electrical voltage, or that generates electricity if you change its shape and was theorized some decades ago. Now, SrTiO3 allowed to observe this new effect, being comparable with piezoelectric effect.
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    My old twente university group! :)
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    Isn't muscle wire quite old technology though?
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