Evaluation of technologies for environment recognition and object identification in robotic processes

This service evaluates and enhances AI-based technologies for environment recognition and object identification in robotic applications, enabling companies to improve accuracy, reliability, and automation in real operational scenarios. It supports developers and robotics companies in validating their solutions and accelerating deployment in industrial environments.

The service assesses customer technologies across different use cases, such as robotic manipulation, autonomous navigation, quality inspection, and human-robot interaction. It analyses performance in tasks including object detection, classification, pose estimation, and scene understanding, identifying strengths, limitations, and improvement opportunities.

Performance is evaluated using measurable indicators such as detection accuracy, recognition rate, processing time, robustness to environmental variability (e.g. lighting, occlusions), and system response. This allows companies to quantify improvements in operational efficiency, error reduction, and system reliability.

The service includes:

• Performance analysis and benchmarking of customer technologies
• Validation under representative or real operating conditions using robotic platforms and test environments
• Identification of gaps and optimisation opportunities
• Proposal and initial evaluation of alternative, complementary, or enhanced solutions (e.g. sensor fusion, advanced AI models, data improvements)

The service follows a structured process:

• Definition of the use case and performance requirements
• Review of customer technologies, data, and system architecture
• Integration into testing environments (real or simulated robotic setups)
• Execution of evaluation scenarios
• Analysis and benchmarking of results
• Development and validation of improved solutions

The result is a pilot application that enables the evaluation of different algorithms for a specific use case and demonstrates the potential of advanced technologies. Expected outcomes include increased detection accuracy, reduced error rates, improved robustness in complex environments, and enhanced automation capabilities.

Typical applications include robotic picking in warehouses, object recognition in manufacturing lines, autonomous inspection systems, and service robotics. For example, robotics developers can improve object detection in cluttered environments, while industrial companies can increase the reliability of automated handling systems.

To carry out the service, customers are expected to provide access to their algorithms or technologies, relevant datasets (e.g. image or sensor data), and system interfaces (e.g. APIs, robot control software). Where needed, ITA can support data acquisition and system integration. ITA provides robotic platforms, testing environments, and expertise in AI, perception systems, and robotics.

This service is designed for:

• Robotics and AI technology developers (e.g. perception system providers, autonomous robotics companies) seeking to validate and improve their solutions
• Industrial companies implementing robotic systems for automation, inspection, or logistics

To start a project, companies can contact ITA to define the use case, available data, and system requirements. This initial step includes a feasibility assessment, followed by a tailored proposal, evaluation phase, and delivery of results through the pilot application.