Vincenzo Niola

About

Vincenzo Niola’s research lies at the intersection of robotic perception, mechanism design, and field robotics, with a focus on creating intelligent, practical systems for challenging environments. His work spans from foundational calibration techniques for 3-D laser scanners—a method that has garnered 52 citations—to the development of underactuated robotic hands and fingers. Notably, his 2014 study on a tendon-driven robotic hand, cited 31 times, demonstrates a novel approach to achieving multi-finger movement with a single actuator, advancing both prosthetic and grasping technologies. Niola has also made significant contributions to planetary and agricultural robotics; his 2023 theoretical study on a modified rocker-bogie suspension for rovers (31 citations) and his 2022 multibody model for agricultural rovers (17 citations) highlight his ability to translate space-exploration concepts into terrestrial applications. His work on real-time shape acquisition and robot trajectory planning further underscores his impact in perception and control. With over 200 total citations across his most-cited papers, Niola’s research is a blend of theoretical rigor and practical prototyping, offering valuable insights for students and researchers in robotics, mechatronics, and field automation.

Research Focus

Key Achievements

Top Papers

1. 1
   A method for the calibration of a 3-D laser scanner

   52 citations · 2010
2. 2
   Theoretical study on a modified rocker-bogie suspension for robotic rovers

   31 citations · 2023
3. 3
   A study of a robotic hand with tendon driven fingers

   31 citations · 2014
4. 4
   A new real-time shape acquisition with a laser scanner: first test results

   26 citations · 2010
5. 5
   Multibody Model for the Design of a Rover for Agricultural Applications: A Preliminary Study

   17 citations · 2022
6. 6
   A New Mechanical Hand: Theoretical Studies and First Prototyping

   14 citations · 2014
7. 7
   Robot trajectory planning by points and tangents

   13 citations · 2010
8. 8
   Experimental Measurement of Underactuated Robotic Finger Configurations via RGB-D Sensor

   9 citations · 2018
9. 9
   Perspective transform and vision system for robotic applications

   9 citations · 2006
10. 10
    A simplified model of a multi-jointed mechanical finger calibrated with experimental data by vision system

    7 citations · 2021

Key Collaborators

Contact & Links