Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: A humanoid robot with a body joined to an omnidirectional mobile ground base, and equipped with: a body position sensor and a base position sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting the measures into useful data, a controller to calculate position, velocity and acceleration commands from the useful data using a robot model and pre-ordered position and velocity references, means for converting the commands into instructions for the actuators, wherein the robot model is a double point-mass model, and wherein the commands are based on a linear model predictive control law with a discretized time according to a sampling time period and a number of predicted samples, and expressed as a quadratic optimization formulation with: a weighted sum of objectives and a set of predefined linear constraints.

Abstract: A humanoid robot with a body joined to an omnidirectional mobile ground base, equipped with: a body position sensor, a base position sensor and an angular velocity sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting sensored measures into useful data, a supervisor to calculate position, velocity and acceleration commands from the useful data, means for converting commands into instructions for the actuators, wherein the supervisor comprises: a no-tilt state controller, a tilt state controller and a landing state controller, each controller comprising means for calculating, position, velocity and acceleration commands based on a double point-mass robot model with tilt motion and on a linear model predictive control law, expressed as a quadratic optimization formulation with a weighted sum of objectives, and a set of predefined linear constraints.

Abstract: A computer implemented method for hashing an image is provided that includes: receiving a reference image frame; deriving an array of reference hash values to represent the reference image frame, wherein the array of reference hash values includes a first reference hash value, a second reference hash value, and a third reference hash value; receiving an test image frame; deriving an array of hash values to represent the test image frame, wherein the array of hash values includes a first test hash value, a second test hash value, and a third test hash value; subtracting the array of test hash values representing the test image frame from the array of reference hash values representing the reference image frame to produce a delta array, wherein the delta array is indicative of an area where the test image frame differs from the reference image frame.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: A humanoid robot with a body joined to an omnidirectional mobile ground base, and equipped with: a body position sensor and a base position sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting the measures into useful data, a controller to calculate position, velocity and acceleration commands from the useful data using a robot model and pre-ordered position and velocity references, means for converting the commands into instructions for the actuators, wherein the robot model is a double point-mass model, and wherein the commands are based on a linear model predictive control law with a discretized time according to a sampling time period and a number of predicted samples, and expressed as a quadratic optimization formulation with: a weighted sum of objectives and a set of predefined linear constraints.

Abstract: A humanoid robot with a body joined to an omnidirectional mobile ground base, equipped with: a body position sensor, a base position sensor and an angular velocity sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting sensored measures into useful data, a supervisor to calculate position, velocity and acceleration commands from the useful data, means for converting commands into instructions for the actuators, wherein the supervisor comprises: a no-tilt state controller, a tilt state controller and a landing state controller, each controller comprising means for calculating, position, velocity and acceleration commands based on a double point-mass robot model with tilt motion and on a linear model predictive control law, expressed as a quadratic optimization formulation with a weighted sum of objectives, and a set of predefined linear constraints.

Abstract: A computer implemented method for hashing an image is provided that includes: receiving a reference image frame; deriving an array of reference hash values to represent the reference image frame, wherein the array of reference hash values includes a first reference hash value, a second reference hash value, and a third reference hash value; receiving an test image frame; deriving an array of hash values to represent the test image frame, wherein the array of hash values includes a first test hash value, a second test hash value, and a third test hash value; subtracting the array of test hash values representing the test image frame from the array of reference hash values representing the reference image frame to produce a delta array, wherein the delta array is indicative of an area where the test image frame differs from the reference image frame.

Abstract: A method of detecting the presence of unacceptable levels of audio to video synchronization errors in audio-video streams is provided. The method includes capturing, at a testing module, a test audio-video stream from a first source and a reference audio-video stream from a second source, extracting a test audio stream and a test video stream from the test audio-video stream, extracting a reference audio stream and a reference video stream from the reference audio-video stream, determining a highest correlation value between the test audio stream and the reference audio stream using cross-correlation, and determining that the test audio-video stream has an unacceptable level of AV-sync errors when the highest correlation value is above a preset correlation threshold.

Abstract: The automatic video comparison system for measuring the quality of decoded data described herein provides a method for measuring the quality of decoded data at the level of sub-units of a unit of data, for instance at the level of sub-blocks of a video frame. The system can therefore locate defects that may not otherwise be detected by an automated system that measures quality at the level of the entire frame. Processing encoded media is computationally intensive, thus the automatic video comparison system uses a distributed computing system in order to distribute the computations across many compute resources that are capable of operating in parallel.

Abstract: A method of obtaining simulated parameters ( pos(t), vit(t), acc(t), par(t)) able to characterize the movement of an articulated structure provided with sensors, characterized in that the method comprises the following steps: calculating, from estimated movement state parameters of the structure, estimated measurement data ( H(t), ?(t)), each estimated measurement data item corresponding to a measurement delivered by a sensor, difference between the measurements delivered by the sensors and the estimated measurement data that correspond to them, global mathematical processing of the observer type of the data issuing from the difference in order to obtain at least one estimated difference for an estimated movement state parameter, and adding the estimated difference for the estimated movement state parameter and the estimated movement state parameter that corresponds to it in order to form a simulated parameter.

Abstract: A method of adjusting operating parameters of a robot to move an effector tool along a given path in an optimum cycle time including a step of modifying operating parameter values to cause the cycle time to approach a optimal value wherein the parameters are modified so as to approach an extremum of a compromise function including at least first and second terms, the first term being a function of a cycle time and the second term being a function of at least one of temperature and degree of wear of an actuator.

Abstract: The present invention concerns a deck of playing cards (1), whereon one or two signs distinctive of each card are represented, and is characterized in that each card provides one or two hollowed areas (41, 42) to thereupon facilitate placement of the fingertips when fanning out said cards as a playing hand, with said zone or zones positioned in an identical fashion on each card of the

Abstract: The invention concerns a method of obtaining simulated parameters ( pos(t), vit(t), acc(t), par(t)) able to characterise the movement of an articulated structure provided with sensors, characterised in that the method comprises the following steps: calculating, from estimated movement state parameters of the structure, estimated measurement data ( H(t), ?(t)), each estimated measurement data item corresponding to a measurement delivered by a sensor, difference (9) between the measurements delivered by the sensors and the estimated measurement data that correspond to them, global mathematical processing of the observer type (10) of the data issuing from the difference in order to obtain at least one estimated difference for an estimated movement state parameter, and adding (11) the estimated difference for the estimated movement state parameter and the estimated movement state parameter that corresponds to it in order to form a simulated parameter.

Abstract: This method of adjusting the operating parameters of a robot to move an effector tool along a given path in an optimum cycle time comprises a step (140) of modifying the operating parameter values to cause the cycle time to approach its optimum value. During this step, the values of the operating parameters are modified so as to approach an extremum of a compromise function, the compromise function comprising at least first and second terms, the first term being a function of the cycle time and the second term being a function of the temperature and/or the degree of wear.