FANUC CORPORATION

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.

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

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

Systems and methods for precisely controlling welding parameters such as power, speed, oscillation, and material feed to optimize weld quality, consistency, and efficiency, often involving automated or semi-automated processes.

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.

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.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Techniques and systems utilizing laser beams for precise material modification, including cutting, cladding, ablation, and surface treatment, often for joining, shaping, or removing material.

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.

Algorithms and systems for generating, optimizing, and executing trajectories for autonomous vehicles or robots to move through an environment, often involving obstacle avoidance, route validation, and goal reaching.

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.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Design and features of welding and soldering tools, fixtures, and accessories that enhance user safety, ergonomics, operational efficiency, and precise workpiece manipulation, including protective equipment and clamping mechanisms.

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.

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.

Methods and equipment for continuously shaping plastic materials by forcing them through a die, often involving screw extruders, heating elements, and downstream calibration.

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.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

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.

Systems and methods for assessing the quality and characteristics of welds or solder joints, often involving non-destructive testing (NDT) techniques, image processing, or real-time feedback for process control and defect detection.

Processes involving the application of heat and pressure to shape thermoplastic or elastomeric materials, often using molds or presses, to achieve specific forms or material properties.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Integration of electric motors into larger systems (e.g., vehicles, power tools) and safety features for high-voltage components, including control interfaces, mechanical integration, and environmental protection (e.g., waterproofing).

Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.

Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

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 combining multiple materials or layers, often with specialized surface treatments, coatings, or assembly methods, to create functional or aesthetically enhanced plastic articles, including consumer goods and encapsulated electronics.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Development of novel chemical compositions for fluxes, solders, and filler metals to improve material properties, enhance joint reliability, reduce defects, or meet specific application requirements like high-temperature reflow or specialized material joining.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Development and processing of metal powders with specific magnetic properties, including soft magnetic alloys, permanent magnet materials, and insulated powders for electronic components, often involving precise control of particle size, morphology, and composition.

Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.