This research explores the application of AI techniques to enable autonomous decision-making in robots operating within dynamic environments. The study focuses on reinforcement learning models to optimize navigation and task execution under uncertainty and environmental changes.

John Michael Williams, Sofia Emilia Johnson, Oliver Thomas Meyer, Carlos Alberto Gomez, Lina Francesca Zhang

This paper delves into the use of deep learning algorithms for object recognition in autonomous systems. By training neural networks on vast datasets, the model improves accuracy in identifying objects in real-time, supporting applications in navigation, surveillance, and object manipulation.

Olivia Madison Clark, Gabriel Richard Allen, Zoey Michelle Cooper, Louis Victor Braxton

This study investigates the integration of AI-driven robotics into industrial workflows to enhance human-robot collaboration. Focusing on real-time communication, task delegation, and safety protocols, the research proposes models that allow robots to adapt to human actions and environments efficiently.

James Andrew Matthews, Julia Claire Robertson, Benjamin Samuel Brown, Michelle Lee Walker, Mark Evan Davis

This article explores the development of intelligent robotic systems designed to assist in precision surgeries. By integrating real-time data analytics, sensor networks, and robotic actuators, the systems aim to enhance the accuracy, efficiency, and safety of complex medical procedures.

Lucas John Roberts, Amanda Grace Anderson, Charles Patrick Edwards, Clara Isabelle Thompson

This paper investigates the application of machine learning models in predictive maintenance for autonomous robots. By analyzing sensor data and historical performance, the models predict equipment failure, enabling preventive measures that reduce downtime and improve operational efficiency in robotic systems.

Grace Victoria Brooks, Henry Alexander Robinson, Alice Elizabeth Peterson, Thomas Paul Mitchell

This research explores the use of artificial intelligence to enhance human-machine interaction in smart environments. The paper focuses on the development of adaptive robotic systems that use AI to communicate, learn, and respond to human gestures, commands, and environmental changes in real-time.

David Richard Walker, Olivia Claire Martin, Jack Thomas Young, Samantha Louise Collins

This study investigates the use of AI in robotics for elderly care. By combining assistive technologies with machine learning, the research proposes robots that can learn from human interaction, providing personalized support, and ensuring safety and comfort for elderly individuals in their homes.

Eric Michael Thompson, Julia Claire Brooks, Samuel Joseph Harris, Robert Nathaniel Collins

This research explores the integration of robotics with AI for environmental monitoring. Focusing on sustainable solutions, the study evaluates how robotic systems can be used for real-time data collection in challenging environments, providing insights into environmental changes and aiding in the mitigation of natural disasters.

Lucas John Simmons, David Christopher Hensley, Elizabeth Anne Roberts, Matthew James Evans