Tag: Computer Vision
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Comparing Modern AI-Powered 3D Reconstruction Pipelines with Traditional Human Motion Capture Systems
Contacts: Marta Gandolla, Andrea Dal Prete Location: Politecnico di Milano (Bovisa Campus) Motivation of the study: Accurate human kinematics measurement is fundamental in biomechanics, ergonomics, and human–robot interaction, yet traditional approaches remain limited. Optical motion capture systems deliver high accuracy but require expensive equipment and controlled laboratory conditions, while IMU-based methods offer portability at the cost of
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Enhancing Human-Robot Interaction in motor-cognitive game for older adults
As the aging population continues to grow, service robots are emerging as valuable tools to promote active and healthy aging. Previous work at the WE-COBOT Lab developed a motor-cognitive game for the TIAGo robot (PAL Robotics), combining physical and memory training through embodied interaction [Pozzi, Gandolla, Braghin, Robot-Mediated Gesture-Based Memory Game for Older Adult Psychophysical Stimulation.