Paolo Tripicchio

About

Paolo Tripicchio is a robotics and automation researcher whose work spans rehabilitation robotics, robotic manipulation, RFID-based localization, and Industry 4.0 systems. His most influential contribution, a hand exoskeleton robot for active and passive neuromusculoskeletal rehabilitation (2016, 119 citations), demonstrated a full range-of-motion mechatronic design that has become a key reference in assistive robotics. Tripicchio has also made significant advances in robotic grasping, developing solutions for picking objects in cluttered environments using depth-sensing and jamming gripper technology (79 citations), multimodal grasp planning for hybrid grippers, and neural network-based 6D pose estimation frameworks for dexterous manipulation. A substantial thread of his research addresses UHF-RFID localization for smart logistics, combining synthetic aperture radar methods, particle swarm optimization, and phase-based signal processing to enable real-time 3D tag tracking with mobile robots and UAVs — contributions that have collectively garnered over 160 citations. His ROS-Industrial robotic cell integrating stereo vision and visual servoing for production-line automation (59 citations) reflects his broader commitment to practical Industry 4.0 deployment. Through sensor integration, including fiber Bragg grating sensing in grippers, Tripicchio consistently bridges fundamental robotics research with real-world industrial and clinical applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Development of a Hand Exoskeleton Robot for Active and Passive Rehabilitation

   119 citations · 2016
2. 2
   A study on picking objects in cluttered environments: Exploiting depth features for a custom low-cost universal jamming gripper

   79 citations · 2019
3. 3
   Particle Swarm Optimization in SAR-Based Method Enabling Real-Time 3D Positioning of UHF-RFID Tags

   70 citations · 2020
4. 4
   A Synthetic Aperture UHF RFID Localization Method by Phase Unwrapping and Hyperbolic Intersection

   63 citations · 2021
5. 5
   ROS-Industrial based robotic cell for Industry 4.0: Eye-in-hand stereo camera and visual servoing for flexible, fast, and accurate picking and hooking in the production line

   59 citations · 2022
6. 6
   Multimodal Grasp Planner for Hybrid Grippers in Cluttered Scenes

   31 citations · 2023
7. 7
   RFID Gazebo-Based Simulator With RSSI and Phase Signals for UHF Tags Localization and Tracking

   28 citations · 2022
8. 8
   Efficient localization in warehouse logistics: a comparison of LMS approaches for 3D multilateration of passive UHF RFID tags

   28 citations · 2022
9. 9
   i2c-net: Using Instance-Level Neural Networks for Monocular Category-Level 6D Pose Estimation

   28 citations · 2023
10. 10
    On the integration of FBG sensing technology into robotic grippers

    20 citations · 2020

Key Collaborators

Contact & Links