Intelligent Processing System (IPS)
Description
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:
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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
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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.