This research investigates the use of reinforcement learning to optimize robotic navigation in dynamic and complex environments. The study presents novel algorithms that improve path-planning efficiency, reduce computational costs, and enhance robot decision-making in real-time operational settings.

Alexander James Carter, William Benjamin Wright, Charlotte Olivia Smith, John Daniel Green, Rachel Amy Thomas

This paper examines the integration of artificial intelligence with robotic systems to enhance disaster response in urban environments. The research discusses AI-driven robots for real-time decision-making and the challenges posed by complex, rapidly changing disaster zones.

Sophia Maria Evans, Emma Charlotte Johnson, George Timothy White, Olivia Sarah Wilson, Nathan Matthew Adams

This research explores collaborative multi-robot systems in search and rescue operations. It focuses on the latest advancements in robotic teamwork, communication strategies, and the integration of AI for improved task execution and hazard assessment in disaster zones.

Michael Christopher Taylor, Lauren Isabel Brown, Jonathan Ryan Lee, Elizabeth Megan Harris, Jacob Benjamin Carter

This paper reviews recent advancements in swarm robotics and their application to environmental monitoring and hazardous waste management. It highlights the benefits of decentralized systems for large-scale environmental data collection and cleaning operations in unsafe or inaccessible environments.

Olivia Lily Foster, Clara Maria Jackson, Max Daniel Cooper, Isabella Sophie Turner, Henry Thomas Mitchell

This paper discusses the use of robotic systems in hazardous environments such as nuclear power plants, chemical factories, and disaster zones. It covers the various types of robots, their capabilities, challenges in real-time operations, and future developments in autonomous hazardous material handling.

John Alexander Robinson, Lucas Matthew Gray, Sarah Victoria Clark, Laura Isabelle Thompson, Oliver Jack Lewis