The performance of haptic application is highly sensitive to communication delays and losses of data. It implies several constraints in developing networked haptic applications. Th...
—Optical flow algorithms are difficult to apply to robotic vision applications in practice because of their extremely high computational and frame rate requirements. In most case...
—The key feature of many emerging pervasive computing applications is to proactively provide services to mobile individuals. One major challenge in providing users with proactive...
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Abstract--Recent technological advances have motivated largescale deployment of RFID systems. RFID readers are often static and carefully deployed in a planned manner. However, the...