D. Proietti Pagnotta

About

D. Proietti Pagnotta is a robotics researcher whose work spans fault-tolerant control, assistive robotics, and human-robot interaction. With a cumulative citation count exceeding 90 across their published works, their research addresses some of the most pressing challenges in modern robotics, particularly the reliability and accessibility of robotic systems. Among their most recognized contributions is a Fault Tolerant Control (FTC) scheme for robotic manipulators experiencing actuator torque faults, which has garnered 22 citations and represents a significant step toward robust, self-correcting robotic systems. This work extends naturally to dual-arm cooperative systems, demonstrating a coherent research trajectory in resilient robot control. Proietti Pagnotta has also made meaningful contributions to assistive technology, developing intelligent systems for fall detection using mobile robots, deep learning, and Bluetooth-based sensing—work that reflects a strong commitment to improving quality of life for elderly and disabled individuals. Their research on Brain-Computer Interface integration with robotic manipulators further highlights an interdisciplinary approach bridging neurotechnology and robotics. Additional contributions include joint-limit avoidance strategies for dual-arm systems and robotic inspection applications in industrial settings, showcasing a versatile research portfolio. Overall, Proietti Pagnotta's work meaningfully advances both the safety and societal impact of intelligent robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Fault Tolerant Control Scheme for Robotic Manipulators Affected by Torque Faults

   22 citations · 2018
2. 2
   Improving mobility and autonomy of disabled users via cooperation of assistive robots

   14 citations · 2018
3. 3
   Real-time fall detection system by using mobile robots in smart homes

   13 citations · 2017
4. 4
   Fall Detection System by Using Ambient Intelligence and Mobile Robots

   12 citations · 2018
5. 5
   An Avoidance Control Strategy for Joint-Position Limits of Dual-Arm Robots

   9 citations · 2017
6. 6
   Human-robot cooperation via brain computer interface

   6 citations · 2017
7. 7
   Cooperative Robots Architecture for an Assistive Scenario

   5 citations · 2018
8. 8
   Empowered Optical Inspection by Using Robotic Manipulator in Industrial Applications

   4 citations · 2019
9. 9
   Human-Robot Cooperation via Brain Computer Interface in Assistive Scenario

   4 citations · 2019
10. 10
    Kinematic Fault Tolerant Control of a Dual-Arm Robotic System Under Torque Faults

    2 citations · 2018

Key Collaborators

Contact & Links