Abstract: Disclosed are actuators and power-train sub-systems of Autonomous Motion Systems (AMS), having a Double Dynamic Model (DDM) with combined functionality of control (including continuous controllability), operation (e.g., automated/robotic/autonomous operation in normal mode or safety mode) and learning using Energy Exchange System (EES) platform. DDM solution provides ability for an AMS to operate in real-world scenarios involving dynamic geometry and changing physical environment. For example, the first component can be an actuator and power train (A&P) system of an autonomous vehicle. The second component can be an autonomous simulation and test (AST) fixture on which a wheel of the autonomous vehicle is mounted, wherein the vehicle AST simulates a road or off-road condition for the autonomous vehicle. In another example, the first component can be a surgical A&P system of a robotic surgical device, and the second component can be a surgical AST that simulates an environment of living tissue.

Abstract: A dynamic energy exchange platform is described that provides real time control of various system components by using regular sensors as well as sensorless actuators, resulting in an overall balance of energy for the entire system. A sensorless multi-parametric control solution may provide regular operation control, support control, and improvement control. The regular operation control comprises system control during normal operation. The support control comprises abnormal operation recovery control, and the improvement control allows potential system growth and/or controlling aging degradation. Embodiments of the disclosure encompass man-machine and machine-machine (or machine/material) interfaces with active points where energy exchange takes place.

Abstract: A dynamic energy exchange platform is described that provides real time control of various system components by using regular sensors as well as sensorless actuators, resulting in an overall balance of energy for the entire system. A sensorless multi-parametric control solution may provide regular operation control, support control, and improvement control. The regular operation control comprises system control during normal operation. The support control comprises abnormal operation recovery control, and the improvement control allows potential system growth and/or controlling aging degradation. Embodiments of the disclosure encompass man-machine and machine-machine (or machine/material) interfaces with active points where energy exchange takes place.

Abstract: An actuator having a two-parameter energy converter is coupled to a transducer and is driven by a controller. Prior to assembly and operation of the actuator, a calibration procedure is performed. The calibration procedure, together with the unique controller, enables accurate control of the output parameters of the actuator. In one example, the parameters are rate and force, and the calibration and controller enable accurate control of the rate and force at the output of the actuator by measuring only the rate at the output of the energy converter. Consequently, no sensors are needed at the output of the actuator, i.e., at the output of the transducer, where the load is applied.

Abstract: A dynamic energy exchange platform is described that provides real time control of various system components by using regular sensors as well as sensorless actuators, resulting in an overall balance of energy for the entire system. A sensorless multi-parametric control solution may provide regular operation control, support control, and improvement control. The regular operation control comprises system control during normal operation. The support control comprises abnormal operation recovery control, and the improvement control allows potential system growth and/or controlling aging degradation. Embodiments of the disclosure encompass man-machine and machine-machine (or machine/material) interfaces with active points where energy exchange takes place.

Abstract: An actuator having a two-parameter energy converter is coupled to a transducer and is driven by a controller. Prior to assembly and operation of the actuator, a calibration procedure is performed. The calibration procedure, together with the unique controller, enables accurate control of the output parameters of the actuator. In one example, the parameters are rate and force, and the calibration and controller enable accurate control of the rate and force at the output of the actuator by measuring only the rate at the output of the energy converter. Consequently, no sensors are needed at the output of the actuator, i.e., at the output of the transducer, where the load is applied.

Abstract: An actuator having a two-parameters energy converter is coupled to a transducer and is driven by a controller. Prior to assembly and operation of the actuator, a calibration procedure is performed. The calibration procedure, together with the unique controller, enable accurate control of the output parameters of the actuator. In one example, the parameters are rate and force, and the calibration and controller enable accurate control of the rate and force at the output of the actuator by measuring only the rate at the output of the energy converter. Consequently, no sensors are needed at the output of the actuator, i.e., at the output of the transducer, where the load is applied.

Abstract: An actuator having a two-parameters energy converter is coupled to a transducer and is driven by a controller. Prior to assembly and operation of the actuator, a calibration procedure is performed. The calibration procedure, together with the unique controller, enable accurate control of the output parameters of the actuator. In one example, the parameters are rate and force, and the calibration and controller enable accurate control of the rate and force at the output of the actuator by measuring only the rate at the output of the energy converter. Consequently, no sensors are needed at the output of the actuator, i.e., at the output of the transducer, where the load is applied.

Abstract: An ontology that is used to determine relationships between instances of objects having types. The ontology is made from a text file containing a DAML+OIL description of the ontology and includes a set of ontology objects and an accelerator that accelerates determination of the relationships. The accelerator is implemented using database tables and indexes. The ontology may be used as a data filter. A decision-centered visualization system uses the ontology to relate data items contained in event instances to task instances and to determine for a given task instance what portion of the data in the data item should be provided for display by a given task instance.