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Inna Nomerovska

Inna Nomerovska

Inna Nomerovska is the VP of Marketing and Brand Strategy at Keymakr | Keylabs. She is a tireless technology enthusiast with 15 years of experience in international marketing and startup background.

Abstract of LiDAR sensor degradation

Abstract of LiDAR sensor degradation

LiDAR has become an important perception sensor in autonomous vehicles, robotics, industrial automation, and smart infrastructure. By creating highly accurate 3D point clouds, LiDAR enables AI systems to detect obstacles, estimate distances, localize objects, and generate detailed environmental models. However, environmental conditions, aging equipment, contamination, and mechanical failures can degrade

Training ADAS with Automotive Radar Data

Training ADAS with Automotive Radar Data

The development of modern advanced driver-assistance systems (ADAS) and autonomous transport directly depends on the vehicle's ability to continuously and flawlessly recognize its surrounding environment. Currently, most autopilot architectures rely on a synergy of optical cameras and LiDAR, which provide high resolution and precise geometry under ideal

Annotating Data for Robot Safety Certification: ISO 10218 and Collaborative Robot Standards

Annotating Data for Robot Safety Certification: ISO 10218 and Collaborative Robot Standards

The rapid development of industrial automation and the widespread adoption of collaborative robots (cobots) are significantly transforming modern manufacturing processes. This opens up new opportunities to increase productivity, production flexibility, and operational efficiency. In modern robotic solutions, data annotation is becoming increasingly important, especially for systems that use computer vision,

Annotating deformed object manipulation

Annotating deformed object manipulation

Robotics can manipulate rigid objects, but deformed objects remain a challenge in embodied AI. Objects such as clothing, cables, ropes, bags, and soft materials change shape during interaction. Their behavior depends on gravity, contact forces, friction, and previous states, making perception and manipulation more complex. Robot foundation models require specialized

Building Robot Training Data for Warehouses

Building Robot Training Data for Warehouses

Warehouse premises are among the most complex environments for artificial intelligence systems, where standard computer vision algorithms trained on classic open datasets regularly fail. The main challenge here is the organization of the assortment, where thousands of visually identical boxes differing only by a serial number on a tiny barcode

Tactile Sensor Data Annotation for Robotic Grasping and Manipulation

Tactile Sensor Data Annotation for Robotic Grasping and Manipulation

The rapid development of robotics, AI, and machine learning technologies contributes to the creation of autonomous systems capable of effectively interacting with the environment. One of the key tasks of modern robotics is to ensure reliable capture and manipulation of objects under conditions of uncertainty. To successfully perform such operations,

Keymakr is the official annotation partner for RUKOPYS

Keymakr is the official annotation partner for RUKOPYS — the first open dataset of Ukrainian handwritten text

In April 2026, the first comprehensive open dataset of Ukrainian handwritten text - RUKOPYS - was officially released. As its official data annotation partner, Keymakr contributed to the creation of the dataset with hundreds of hours of ground truth labeling. The dataset was initiated by the Ministry of Economy, Environment, and Agriculture