Abstract Latency mitigation is crucial to increasing operational success, ease of use, and product quality in telemanipulation tasks when remotely guiding complex robotic systems. Hardware limitations have created a gap performance optimization due large teleoperation delays, which machine learning techniques could fill with lower time, improved performance, reduced operating costs. Hidden Mark...