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This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent systems, particularly ...

Integrating machine learning (ML) algorithms into robotic intelligence necessitates balancing accuracy, resource efficiency, and energy consumption. This study presents the Multi-Objective ...