Physical Human Robot Interaction

Physical Human-Robot Interaction (pHRI) focuses on designing robots that can safely and effectively interact with humans through physical contact, aiming to improve collaboration and assistance in various settings. Current research emphasizes developing control strategies (like admittance and impedance control) and utilizing machine learning models (including neural networks and Gaussian processes) to predict human intentions, adapt to human behavior, and ensure safety during interaction, often incorporating sensory feedback from vision, touch, and force sensors. This field is crucial for advancing robotics in areas like rehabilitation, manufacturing, and assistive technologies, driving improvements in robot safety, efficiency, and human-centered design.