Roberto Oboe

About

Roberto Oboe is a distinguished researcher whose work spans robotics, teleoperation, haptics, and advanced motion control — fields that sit at the intersection of control engineering and human-machine interaction. His research has made significant strides in enabling reliable remote control systems over the Internet, a challenge he tackled early with his influential work on force-reflecting teleoperation (2001, 77 citations; 2003, 51 citations), demonstrating real-time closed-loop control across unpredictable networks. His 2008 study on bilateral teleoperation with model predictive control (96 citations) addressed the critical problem of variable time delays and packet loss, pushing Internet-based robotic systems closer to practical deployment. Oboe has also contributed meaningfully to tactile sensing, co-authoring pioneering work on POSFET-based system-on-chip designs for robotic touch (146 citations), and to clinical rehabilitation, investigating haptic robots for post-stroke hand recovery (53 citations). His later contributions explore disturbance observer-based motion control, LSTM neural networks for robot path planning, and impedance-based haptic transmission — reflecting a sustained commitment to bridging theoretical control methods with real-world robotic applications. With hundreds of citations across a decade of influential publications, Oboe stands as a key figure in modern intelligent motion control research.

Research Focus

Key Achievements

Top Papers

1. 1
   Towards Tactile Sensing System on Chip for Robotic Applications

   146 citations · 2011
2. 2
   Experimental Analysis of an Internet-Based Bilateral Teleoperation System With Motion and Force Scaling Using a Model Predictive Controller

   96 citations · 2008
3. 3
   Web-interfaced, force-reflecting teleoperation systems

   77 citations · 2001
4. 4
   Haptic-Based Neurorehabilitation in Poststroke Patients: A Feasibility Prospective Multicentre Trial for Robotics Hand Rehabilitation

   53 citations · 2013
5. 5
   Force-reflecting teleoperation over the internet: the JBIT project

   51 citations · 2003
6. 6
   Disturbance Observer and Kalman Filter Based Motion Control Realization

   43 citations · 2017
7. 7
   A LSTM Neural Network applied to Mobile Robots Path Planning

   27 citations · 2018
8. 8
   Advanced Motion Control for Next-Generation Industrial Applications

   25 citations · 2016
9. 9
   Integrated Disturbance Observer-Based Robust Force Control

   22 citations · 2022
10. 10
    Impedance Field Expression of Bilateral Control for Reducing Data Traffic in Haptic Transmission

    21 citations · 2018

Key Collaborators

Contact & Links