OKUMA CORPORATION

Systems and methods for accurately measuring and compensating for position, orientation, and movement errors in mechanical systems, often for manufacturing, robotics, or optical alignment.

Sophisticated software or hardware-implemented control strategies that optimize motor performance, such as precise speed/torque regulation, vibration reduction, or efficiency, often using model-based, predictive, or adaptive techniques.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Methods and circuits for controlling the power electronic converters (inverters, bridges) that supply current and voltage to electric motors, including switching strategies, voltage command generation, and multi-phase configurations.

Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.

Design and control of advanced robotic grippers, tools, and mechanical linkages for specific manipulation tasks or operating in challenging environments.

Techniques for determining the rotor position, speed, or other operational parameters of an electric motor without dedicated physical sensors, often relying on back-EMF, current, or voltage measurements.

Development of novel motor architectures beyond traditional radial flux designs, including linear, axial, or multi-armature configurations, often to optimize for specific performance characteristics like torque density or form factor.

Manufacturing processes and techniques for producing stator cores, windings, and coils, including lamination, impregnation, hairpin winding, and segment coil bending, to improve motor efficiency, power density, or reliability.

Utilizing sound and vibration analysis to detect malfunctions, assess balance, or monitor the operational health of machinery and structures. This often involves sensors, signal processing, and pattern recognition.

Strategies and circuits for optimizing the supply and consumption of electrical power for motors, including current limiting, regenerative energy handling, battery integration, and managing power quality.

Methods and systems for monitoring the operational status, detecting anomalies, ensuring safe interaction, and preventing damage or injury in robotic systems.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Techniques for measuring, monitoring, and compensating for temperature variations within semiconductor devices, integrated circuits, or photonic components to maintain performance, prevent degradation, and ensure reliability across operating conditions.