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I am searching for better biorobots for targeted drug delivery. Please suggest some microbots/nanorobots which were used in the cancer drug delivery system with working.
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Hi,
In a recent literature, it is claimed that: "Currently available drug delivery systems depend on systemic circulation and lack the navigation ability required for accurate targeting. Micro/nanorobots with motion ability can meet these features, to a certain degree, and represent an attractive prospect."
10.3390/pharmaceutics12070665
Also, see attached Figures.
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Different biological signals can predict the human motion intention. EEG signals also has the potential to do this. Are there any studies on prediction of motion intention of humans using EEG signals ?
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Maybe it is not exactly what you are looking for, but I have come across this very recently russian study on gamma oscillations in humans.
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Biological signals play an important role in providing correct motion intention of the users to the assitive robots. What roles will play by EEG and FNIRS when they used as a method to grasp the motion intention, individually and as a combination. Please comment your views.
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The answer really depends on the time horizon that you want to consider.  I would say that within the next 5-10 years, minimally, surface brain recordings will continue to play pretty limited roles.  Among the issues that continue to plague these technologies are both spatial and temporal sampling/resolution issues - especially given the problems of the skull and brain as, essentially, large biological volume conductors. The amount of computational effort required to clean up and de-mix source signals means that real-time applications will continue to be very limited. Mostly, one can expect only very general and non-specific metrics to be most useful for near-term real-time systems (basic spectral power and simple event-related measures are most likely to continue to hold their place as mainstays).  Over longer time horizons, of course, computational methods will become more efficient both in formulation as well as in researchers and developers learning what information is NOT needed to be processed.  Improvements in hardware/firmware/etc also will continue to provide better opportunities for real-time applications.  However, the final hurdle of understanding exactly what information is contained within these types of neural measures is going to unfold over  a much, much longer time course. I personally think that the highest payoff areas will continue to be the monitoring of much lower-dimensional signals of peripheral psychophysiology for some time to come . . . and, let's face it, there is no Tony Stark and Iron Man is not coming in any near future that I can see . . . 
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Thanks in advance for your replies.
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Datasheets are often inaccurate. The best option is to use a test setup like the one that was used to identify the motors of the ranger robot (see link).
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I fail to initialize ac Biorobot 8000 automat, due to a module in default. As I don't need this module, I would like to modify the initialisation check list. I didn't find the "InitRobot" that is called at the beginning of our programs. Is someone could give me some advice? Many thanks for your answer.
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InsyAllah I will explain in detail soon.
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Thermal, electrostatic, electromagnetic?
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I found also this interesting article...Comparison of Energy Harvesting Systems for Wireless Sensor Networks
But still I cannot come out with a suitable and promising solution...
Is anybody practically using one of these technology in his/her design?