Human–Robot Interaction Using Learning from Demonstrations and a Wearable Glove with Multiple Sensors

• DOI: 10.3390/s23249780
• Publication Date: 2023-12-12T14:15:33Z
• Authors: Rajmeet Singh; Saeed Mozaffari; Masoud Akhshik; Mohammed Jalal Ah...; Simon Rondeau-Gagné; Shahpour Alirezaee
• Keywords: Wired glove; Human–robot interaction; Sensor Fusion

Human-robot interaction is of the utmost importance as it enables seamless collaboration and communication between humans robots, leading to enhanced productivity efficiency. It involves gathering data from humans, transmitting a robot for execution, providing feedback human. To perform complex tasks, such robotic grasping manipulation, which require both human intelligence capabilities, effective modes are required. address this issue, we use wearable glove collect relevant demonstrator improved human-robot interaction. Accelerometer, pressure, flexi sensors were embedded in measure motion force information handling objects different sizes, materials, conditions. A machine learning algorithm proposed recognize grasp orientation position, based on multi-sensor fusion method.