The ODIN Project aims to develop automated methods for interpreting and diagnosing data collected from continuous monitoring of robots operating in high-voltage direct current halls. By leveraging modern advanced analytics, including machine learning and artificial intelligence, the Project will transition from the current labour-intensive process of manual data assessment, which lacks trend analysis for comparing against normal operating conditions. Through the application of artificial intelligence and machine learning, ODIN will uncover novel insights into high-voltage direct current asset behaviour, thereby improving operational efficiency, reliability and resilience to support the transition to a net-zero energy network.

This early stage feasibility project will trial the effectiveness of applying disinfectant in a new way to reduce greenhouse gas emissions and improve flock health and profitability in deep litter broiler houses. The project will also develop an automated applicator, and report on the trials.

Despite China’s exceptional economic growth there is still extreme poverty effecting large numbers of people. This need can be addressed by large quantities of affordable high protein such as chicken meat & eggs. The Chinese chicken industry lags behind the best standards of production yields; food quality; low anti-biotic usage & disease free status. This project will combine robot technology with advanced sensors & climate management; with real-time monitoring to maintain the best climatic conditions, improving animal welfare & production yield; & early detection of poultry disease & minimal anti-biotics use. The project will build a data collection platform for poultry buildings, (giving detailed information on the climate & health of birds) & add data analysis with climate control to provide optimal health, welfare & production yield conditions. The Royal Veterinary College leads the project; Ross Robotics; the robot; Applied Poultry, remote monitoring; RoboScientific early detection of diseases; China Agricultural University precision livestock farming; Beijing Deqingyuan Agriculture Technology, poultry facilities & Beijing Tobor Technology, optimisation of the robot.

Awaiting Public Summary

Poultry meat birds are bred for high muscle gain but require very careful husbandry. Current poultry monitoring technologies operate at flock level and do not provide high resolution data collection and analytics required by modern efficient poultry producers to make significant performance gains. RoboChick proposes a multi-functional robotic system capable of collecting data autonomously within a poultry shed to target point-of-need/point-of-care management. This feasibility project is multi- disciplinary, bringing together the animal welfare and ethology expertise of the Royal Veterinary College (RVC), the livestock-oriented engineering expertise of Harper Adams University (HAU), the innovative robotic engineering skills of Ross Robotics (RRL), and commercial poultry management skills of Applied Poultry Ltd (APL). The project will integrate these skills to investigate the feasibility and specify a highly functional robotic system for poultry production monitoring and management.

pvRIS: Pressure Vessel Robotic Inspection System The cost, safety and downtime involved with pressure vessel asset management is a major issue for all oil & gas operators and for other asset owners where access is hazardous, such as nuclear environments. This project aims to produce a system that can reduce inspection costs, increase operating efficiency and maintain safety. This project aims to extend the successful measurement system, DIFCAM that has been developed in the transport industry to replace manual basic visual inspection of railway track and tunnels. New challenges arise in integrating these measurement systems to vehicles suitable for inspection of pressure vessel and very complex active cells for Nuclear Decommissioning. The project will utilise a modular robot platform to deploy the revised inspection system within the asset and navigate through it