Direct Teleoperation

Direct teleoperation aims to seamlessly extend human control over robots, particularly in complex or hazardous environments, prioritizing high-fidelity interaction and intuitive control. Current research emphasizes improving user experience through advanced visualization techniques like radiance fields and virtual reality interfaces, alongside the development of shared autonomy frameworks that blend human input with intelligent robotic assistance, often employing machine learning methods such as transformers and diffusion models for improved adaptability and safety. These advancements are significant for expanding the capabilities of robots in diverse applications, from surgery and industrial manipulation to assistive technologies for individuals with disabilities.