Assistive Robotic Arm

Assistive robotic arms aim to enhance independence for individuals with motor impairments by providing robotic assistance for activities of daily living (ADLs). Current research emphasizes improving control interfaces, focusing on shared autonomy approaches that blend human input with AI-driven assistance, often employing machine learning algorithms to adapt to individual user needs and preferences. This includes developing intuitive control schemes, such as gaze-based interfaces and simplified macro-programming, and improving the robot's ability to understand and respond to human intent through better communication and uncertainty quantification. The ultimate goal is to create more user-friendly and effective robotic systems that seamlessly integrate into daily life, reducing reliance on caregivers and improving quality of life.