Most Suitable Future-Proof Energy Supply for a New-Build Semi-Submersible Crane Vessel: Energy Transition-Compliant Energy Supply for Heerema's Sleipnir: A Multi-Criteria Analysis

Currently, our society faces a pressing challenge: global warming. The solution lies in the energy transition, which replaces fossil fuels with clean sources. This requires a global effort across all sectors, including shipping. While a significant portion of shipping relies on polluting fuels, the European Union’s Green Deal aims for climate...

Reinforcement Learning for Switching Control of Semi-automated Vehicles with Driver Fatigue

Automated driving is a rapidly growing technology nowadays. Semi-automated driving is a subpart of automated driving which has multiple driving modes where both driver and automated module can take control. But full safety and comfort guarantees cannot still be given to the drivers. In this project, research has been done to ensure driver safety...

Safe Reinforcement Learning Applications

Reinforcement Learning (RL) focuses on maximizing the returns (discounted rewards) throughout the episodes, one of the main challenges when using it is that it is inadequate for safety-critical tasks due to the possibility of transitioning into critical states while exploring. Safe Reinforcement Learning (SafeRL) is a subset of RL that focuses...

Benefits and implications of Augmented Reality Positioning Systems for Offshore Topside Installations

The oil and gas industry is seeking to improve safety on its current operations procedures (Choudarki, 2012). From all oil and gas operations, Topside Installation Processes (TIP) are the only offshore activity that counters one of the golden safety rules, “do not stand or walk under suspended loads” (Peuscher & Groeneweg, 2012). As a...