The Intelligent Processing System (IPS) integrates deep learning models (YOLOv11x for object detection and MobileNetV3 for affordance segmentation) for robotic teleoperation tasks. The system is implemented on a UR5 with a RealSense D455 RGB-D camera. The software was used in the following works: Di Tecco, A., Leonardis, D., Frisoli, A., & Loconsole, C. (2025). Grasping Task in Teleoperation: Impact of Virtual Dashboard on Task Quality and Effectiveness. Robotics, 14(7), 92. https://doi.org/10.3390/robotics14070092 Di Tecco, A., Camardella, C., Leonardis, D., Loconsole, C., & Frisoli, A. (2024, October). Virtual Dashboard Design for Grasping Operations in Teleoperation Systems. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 994-999). IEEE. 

This license covers only public files. Antonio Di Tecco and Daniele Leonardis can be contacted at www.ditecco.it/contacts or daniele.leonardis@santannapisa.it to request the IPS System.