OMRON CORPORATION

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

Mechanical, electromagnetic, or hydraulic systems used to physically operate the contacts of a switch or circuit breaker, focusing on the linkages, motors, coils, or fluid dynamics involved.

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

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

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.

Focuses on novel circuit configurations for DC-DC, DC-AC, or AC-DC conversion, often involving resonant operation, multi-level structures, or switched capacitors to improve efficiency, power density, or voltage conversion ratios.

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.

Systems that combine light sources, waveguides, and display elements into unified products for backlighting, automotive applications, general lighting, or color-corrected displays.

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.

Switches designed for specific applications within larger systems (e.g., automotive, IoT, industrial control), often incorporating sensors, control logic, wireless communication, or specialized mechanical interfaces.

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.

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.

Techniques and circuits designed to regulate output, manage input variations, mitigate resonance, or ensure stable operation of power converters under diverse load and source conditions. This includes adaptive, predictive, or fault-tolerant control schemes.

Systems that incorporate solar panels as a primary or auxiliary power source for various applications, including visual displays, remote devices, and portable battery charging, often emphasizing efficiency and adaptability.

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

Design and manufacturing of key switches and keycaps that incorporate lighting elements for backlighting, indication, or aesthetic purposes, often involving translucent materials and light-shielding layers.

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.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Methods and structures employed within switches and circuit breakers to safely and efficiently quench electrical arcs generated during contact separation, preventing damage and ensuring reliable interruption.

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.

Devices and systems designed to protect electrical circuits from overcurrents, short circuits, and other faults, often involving rapid response, high voltage/current handling, and sophisticated interruption mechanisms.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Techniques for designing and manufacturing compact, multi-functional magnetic components, such as inductors, transformers, and coils, often involving embedded structures, multilayer designs, or shared magnetic circuits to achieve higher power density or smaller form factors.

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.

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.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Design and control of power supply architectures that combine multiple power sources (e.g., AC grid, DC battery, generators) or modular battery units, often featuring switching, conversion, and redundancy for enhanced reliability and flexibility.

Techniques used by sensing systems to identify the presence, location, and characteristics of objects or unusual conditions in an environment, including methods to suppress false positives or 'ghost' detections.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

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

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.