Autonomous Mobile Agent

Autonomous mobile agents are robotic or software systems designed to operate independently, achieving pre-defined objectives without continuous human intervention. Current research emphasizes enhancing their reliability and efficiency through improved algorithms (like ant colony optimization and Dijkstra's algorithm for pathfinding), homeostatic reinforcement learning for robust adaptation to dynamic environments, and the development of trustworthy architectures for human-agent interaction, particularly in scenarios involving sensitive data or complex tasks. This field is significant for its potential applications in diverse areas such as cultural heritage preservation (through autonomous 3D modeling), industrial automation (e.g., optimized coverage of workspaces), and search and rescue operations.