IEEE

Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning

Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...
IEEE

Task Space End-Effector Contact Force Estimation for Robotic Manipulators Using a Bayesian Augmented Interacting Multiple Model-Based Disturbance Kalman Filter

Abstract: Accurate estimation of contact forces acting on robotic manipulators is essential for safe and high-performance physical interaction. However, classical disturbance Kalman filter approaches ...