⏩ Volume 22, Issue No.3, 2024 (ISR)
Optimizing Robotic Path Planning in Complex Environments Using Reinforcement Learning

This paper explores the application of reinforcement learning for optimal path planning in robotics, focusing on the challenges posed by complex and dynamic environments. It examines algorithms designed to enhance robot navigation and decision-making for various real-time applications in autonomous systems.

Michael Christopher Taylor, Jessica Maria Roberts, David Thomas Williams, Olivia Grace Mitchell, Ethan James Harris

Paper ID: 52422301
✅ Access Request

AI-Driven Robotic Systems for Autonomous Navigation in Urban Environments: Challenges and Opportunities

This paper delves into the challenges and opportunities AI-driven robotic systems face when navigating urban environments autonomously. The research covers the development of algorithms that enable real-time decision-making and adaptation in complex, ever-changing cityscapes.

Samuel John Anderson, Sophie Claire Mitchell, William George Hall, Charlotte Marie Davis, Benjamin Thomas Wright

Paper ID: 52422302
✅ Access Request

Collaborative Multi-Robot Systems for Autonomous Search and Rescue Missions: Current Trends and Future Directions

This paper reviews the use of collaborative multi-robot systems in search and rescue operations, focusing on their applications in real-world scenarios. The paper explores technologies enabling multiple robots to work together autonomously in hazardous environments for effective disaster response.

David Michael Davis, Clara Jane Miller, Thomas Andrew Smith, Emma Lily Clark, Noah Benjamin Robinson

Paper ID: 52422303
✅ Access Request

Swarm Robotics for Environmental Monitoring and Disaster Relief: A Comprehensive Review

This review paper discusses the growing use of swarm robotics in environmental monitoring and disaster relief. The paper focuses on the potential of swarm robots to perform complex tasks such as data collection, monitoring environmental conditions, and assisting in disaster recovery efforts.

John Charles Taylor, Olivia Maria Foster, Charlotte Anne Black, William Henry Thomas, Andrew Paul Gray

Paper ID: 52422304
✅ Access Request

AI-Based Robotic Systems for Hazardous Waste Cleanup: Opportunities and Challenges

This paper examines the opportunities and challenges of implementing AI-driven robotic systems in hazardous waste cleanup. It discusses the potential benefits such as precision, safety, and efficiency, as well as the technological and regulatory hurdles that need to be addressed to implement such systems in real-world scenarios.

Emily Grace Williams, Nathaniel George Smith, Olivia Rose Harris, Jack Martin Cooper, Sarah Elizabeth Turner

Paper ID: 52422305
✅ Access Request

Back