United States of America as Represented by the Administrator of Nasa

California Institute of Technology

Other

Adrian Stoica

Carlos Harold Salazar-Lazaro

Walter Eugene Pelton

Radu Andrei

Tuan Anh Vo

Mohammad Mehdi Mojarradi

Michael T Wolf

Jaakko T Karras

Christopher Assad

David Q Zhu

A sleeve worn on an arm allows detection of gestures by an array of sensors. Electromyography, inertial, and magnetic field sensors provide data that is processed to categorize gestures and translate the gestures into commands for robotic systems. Machine learning allows training of gestures to increase accuracy of detection for different users.

Wearable electromyography sensor array using conductive cloth electrodes for human-robot interactions

Electronic logic gates that operate using N logic state levels, where N is greater than 2, and methods of operating such gates. The electronic logic gates operate according to truth tables. At least two input signals each having a logic state that can range over more than two logic states are provided to the logic gates. The logic gates each provide an output signal that can have one of N logic states. Examples of gates described include NAND/NAND gates having two inputs A and B and NAND/NAND gates having three inputs A, B, and C, where A, B and C can take any of four logic states. Systems using such gates are described, and their operation illustrated. Optical logic gates that operate using N logic state levels are also described.

Method and apparatus for simultaneous processing of multiple functions

An evolvable circuit includes a plurality of reconfigurable switches, a plurality of transistors within a region of the circuit, the plurality of transistors having terminals, the plurality of transistors being coupled between a power source terminal and a power sink terminal so as to be capable of admitting power between the power source terminal and the power sink terminal, the plurality of transistors being coupled so that every transistor to transistor terminal coupling within the region of the circuit comprises a reconfigurable switch.

Evolutionary technique for automated synthesis of electronic circuits

A method of evolving a circuit uses a heterogenous mix of models of both high and low levels of resolution.

The present invention provides apparatus, methods, and computer program products for providing coefficients of a function representative of a signal. In one embodiment, the apparatus, methods, and computer program products of the present invention, taking advantage of the independence of samples, provide complete sets of coefficients of the function as each sample is received and corrects the updated coefficients for accuracy by applying a rotating reference system. As such, the apparatus, methods, and computer program products of the present invention are capable of providing accurate coefficients with decreased latency. In another, embodiment, the apparatus, methods, and computer program products of the present invention use learning models to derive complete sets of coefficients of functions as each sample is received. In another embodiment, the apparatus, methods, and computer program products of the present invention use learning models to determine apparatus, methods, and computer program products for generating coefficients of functions.

Apparatus, methods, and computer program products for accurately determining the coefficients of a function

Apparatus, methods, and computer program products are provided for generating a second set of equations requiring reduced numbers of computations from a first set of general equations, wherein each general equation defines coefficients in terms of a set of samples and a plurality of functions having respective values. A first set of tokens is initially assigned to the plurality of functions such that every value of the functions that has a different magnitude is assigned a different token, thereby permitting each general equation to be defined by the set of samples and their associated tokens. Each general equation is then evaluated and the samples having the same associated token are grouped together. A second set of tokens is then assigned to represent a plurality of unique combinations of the samples. The second set of equations is then generated based at least on the first and second sets of tokens.

Apparatus, methods, and computer program products for reducing the number of computations and number of required stored values for information processing methods

An evolvable circuit includes a plurality of reconfigurable switches, a plurality of transistors within a region of the circuit, the plurality of transistors having terminals, the plurality of transistors being coupled between a power source terminal and a power sink terminal so as to be capable of admitting power between the power source terminal and the power sink terminal, the plurality of transistors being coupled so that every transistor terminal to transistor terminal coupling within the region of the circuit comprises a reconfigurable switch.

Evolvable circuit with transistor-level reconfigurability

A method for evolving a circuit comprising configuring a plurality of transistors using a plurality of reconfigurable switches so that each of the plurality of transistors has a terminal coupled to a terminal of another of the plurality of transistors that is controllable by a single reconfigurable switch. The plurality of reconfigurable switches being controlled in response to a chromosome pattern. The plurality of reconfigurable switches may be controlled using an annealing function. As such, the plurality of reconfigurable switches may be controlled by selecting qualitative values for the plurality of reconfigurable switches in response to the chromosomal pattern, selecting initial quantitative values for the selected qualitative values, and morphing the initial quantitative values. Typically, subsequent quantitative values will be selected more divergent than the initial quantitative values. The morphing process may continue to partially or to completely polarize the quantitative values.

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Pasadena, CA, United States of America

Adrian Stoica