Assistive Teleoperation

Assistive teleoperation focuses on developing intuitive interfaces and control strategies that enable individuals with motor impairments to effectively operate robots for assistance with daily tasks. Current research emphasizes improving the mapping between low-dimensional user inputs (e.g., head movements, eye gaze) and high-dimensional robot actions, often employing machine learning techniques like reinforcement learning and transformers to achieve robust and adaptable control. This field is significant for enhancing the independence and quality of life for people with disabilities, while also advancing the development of human-robot interaction paradigms and shared autonomy systems.