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Carlo Masone

Adresse: Spemannstr. 44
72076 Tübingen
Raum Nummer: 2.VR.02
Tel.: 07071 601 211
Fax: 07071 601 616
E-Mail: Carlo.Masone

 

Bild von Masone, Carlo

Carlo Masone

Position: Doktorand  Abteilung: Bülthoff

I am a Ph.D. student at the Max Planck Institute for Biological Cybernetics in the Autonomous Robotics and Human Machine Systems group guided by Dr. Paolo Stegagno (previously led by Dr. Paolo Robuffo Giordano and Dr. Antonio Franchi).


My research revolves around the concept of multi-robot systems, i.e., how multiple robotic agents can be efficiently used to improve their perception of the environment, to perform complex actions and to accomplish tasks that would otherwise be not feasible. Moreover, I am interested in studying from a control point of view different paradigms of interaction and coordination among the robots, and also between the team of robots and one or more human operators. More informations on our group's research on this topic be found here.


I am also involved in the research on the CyberMotion Simulator, an anthropomorphic robotic manipulator used as a motion simulator. In comparison to other ad hoc structures, this solution offers a good tradeoff between developing/maintenance costs and motion capabilities. My research on this project is mainly focused development of ad hoc control and motion cueing algorithms to exploit the capabilities of the simulator More informations on the CyberMotion Simulator can be found here.


For other informations, please visit our group webpage. Check also the youtube channel with our videos.

 

CyberMotion Simulator and WABS

The CyberMotion Simulator represents a novel approach to motion simulation, based on an anthropomorphic industrial manipulator. This platform offers a larger workspace in comparison to classical hexapod structures (Stewart platforms) while keeping costs limited. The complete motion simulation framework developed for the CyberMotion simulator includes:

  1. ad hoc motion cueing algorithm, that translates the motion primitives of a simulated vehicle in a trajectory for the robot;
  2. inverse kinematics solution to provide the commands to the robot.

workflow of the motion simulation, with the pilot in the loop


In order to futher extend the motion capabilities of the simulator and increase the immersion in the virtual environment, a novel actuated cabin was developed. This new cabin is endowed with a multiple kinematic behavior, and can produce rotation, translations and a combination of the two.
With the WABS project, the aim is to integrate this framework with human motion perception models, thus producing a perception-based motion simulation.

 

Planning and control of mobile robots operating with a Human-in-the-Loop

Mobile robots are a major topic of research because their mobility and versatility makes them valuable resources for numerous applications. Despite the signicant research eorts spent to make them fully autonomous, most real-world applications with mobile robots include a human-in-the-loop either because of limitations of the robots or because of regulations. However, the presence of a human introduces several new challenges that need to be addressed, such as i) the need of intuitive control interfaces that allow the action of the operator without requiring intensive training [5], and ii) the need of feedback cues to inform the human of the state of the robot and of the remote site [2].

 

In the Human/Mobile-Robots Interaction project our goal is to solve or mitigate the issues introduced by the human-in-the-loop by developing novel control and planning architectures. These new architectures should enable a single operator to manoeuvre one or multiple mobile vehicles in a remote environment and without the need of training.

 

Our solution is based on the bilateral shared control paradigm, in which i) the human commands a desired behaviour to the robots by means of a simplied command interface, ii) the robots can correct the human directives or autonomously take care of some aspect of the task, and iii) a feedback loop is closed with the human by combining visual/vestibular cues with a force feedback that is implemented using input devices that are actuated and controlled with a Passive Set-Position Modulation architecture [3] to guarantee passivity.

 

Bilateral shared formation control with 3 UAVs that are keeping a desired triangular formation while being teleoperated by the user.Bilateral shared path planning, in which the operator modi

 

 

Within this scenario, we have developed bilateral shared architectures for two scenarios. In the first case, we implemented a framework for the bilateral formation control of a group of unmanned aerial vehicles (UAVs) using only bearing measurements [1] (Fig. 1). In the second case, we have developed a bilateral shared architecture in which the human is moved to the planning level and controls the path followed by the robot rather than the robot itself [4] (Fig. 2). Both approaches have been tested with quadrotor UAVs, and the human operator was able to control the robots easily and without training via two actuated input devices (Fig. 3).

 

Actuated input devices used by the operator to command behaviours to the formation of robots or to the travelled path, such as planar translations (green, yellow), changes of scale (cyan) and rotations around a vertical axis (magenta).



References

1. A. Franchi, C. Masone, V. Grabe, M. Ryll, H. H. Bultho, and P. Robuo Giordano. Modeling and control of UAV bearing-formations with bilateral high-level steering. The International Journal of Robotics Research, Special Issue on 3D Exploration, Mapping, and Surveillance, 31(12):1504{1525, 2012.

2. P. F. Hokayem and M. W. Spong. Bilateral teleoperation: An historical survey. Automatica, 42 (12):2035{2057, 2006.

3. D. J. Lee and K. Huang. Passive-set-position-modulation framework for interactive robotic systems. IEEE Trans. on Robotics, 26(2):354{369, 2010.

4. C. Masone, P. Robuo Giordano, H. H. Bultho, and A. Franchi. Semi-autonomous trajectory generation for mobile robots with integral haptic shared control. Accapted to 2014 IEEE Int. Conf. on Robotics and Automation, 2014.

5. R. Murphy, S. Tadokoro, D. Nardi, A. Jaco, P. Fiorini, H. Choset, and A. Erkmen. Search and rescue robotics. In B. Siciliano and O. Khatib, editors, Springer Handbook of Robotics, pages 1151{1173. Springer, 2008.

 




Education

2010-now

PhD Student
supervised by Dr. Antonio Franchi (co-supervised by Dr. Paolo Robuffo Giordano)
Department Human Perception Cognition and Action (Dept. Head: Heinrich H. Bülthoff), Max Planck Institute for Biological Cybernetics, Tübingen, Germany

2006-2009

Master Student in System Engineering
University of Roma "La Sapienza", Roma, Italy
(final mark: 110/110 cum laude)

2009

Master Thesis: Design, imlpementation and evaluation of a washout algorithm for a motion simulator using an anthropomorphic manipulator
supervised by Dr. Paolo Robuffo Giordano
Department Human Perception Cognition and Action (Dept. Head: Heinrich H. Bülthoff), Max Planck Institute for Biological Cybernetics, Tübingen, Germany

2002-2006

Bachelor Student
University of Roma "La Sapienza", Roma, Italy
(final mark: 110/110 cum laude)

1997-2002

High School Student
Liceo Scientifico Augusto Righi, Roma, Italy
(final mark: 100/100 cum laude)

 

 


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Zeige Zusammenfassung

Artikel (1):

Franchi A Person, Masone C Person, Grabe V Person, Ryll M Person, Bülthoff HH Person und Robuffo Giordano P Person (Oktober-2012) Modeling and Control of UAV Bearing-Formations with Bilateral High-Level Steering International Journal of Robotics Research 31(12) 1504-1525.
pdf

Beiträge zu Tagungsbänden (9):

Masone C Person, Robuffo Giordano P Person, Bülthoff HH Person und Franchi A Person (Juni-2014) Semi-autonomous Trajectory Generation for Mobile Robots with Integral Haptic Shared Control IEEE International Conference on Robotics and Automation (ICRA 2014), IEEE, Piscataway, NJ, USA, 1-8.
pdf
Franchi A Person, Masone C Person und Robuffo Giordano P Person (Oktober-2012) A Synergetic High-level/Reactive Planning Framework with Application to Human-Assisted Navigation 2012 IEEE IROS Workshop on Robot Motion Planning: Online, Reactive, and in Real-time, 15-20.
pdf
Masone C Person, Franchi A Person, Bülthoff HH Person und Robuffo Giordano R Person (Oktober-2012) Interactive Planning of Persistent Trajectories for Human-Assisted Navigation of Mobile Robots IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), IEEE, Piscataway, NJ, USA, 2641-2648.
pdf
Masone C Person, Franchi A Person, Bülthoff HH Person und Robuffo Giordano P Person (Oktober-2012) Shared trajectory planning for human-in-the-loop navigation of mobile robots in cluttered environments 5th International Workshop on Human-Friendly Robotics (HFR 2012), 1.
pdf
Nesti A Person, Masone C Person, Barnett-Cowan M Person, Robuffo Giordano P Person, Bülthoff HH Person und Pretto P Person (September-2012) Roll rate thresholds and perceived realism in driving simulation Driving Simulation Conference Europe (DSC 2012), INRETS, Bron, France, 1-6.
pdf
Franchi A Person, Masone C Person, Bülthoff HH Person und Robuffo Giordano P Person (September-2011) Bilateral teleoperation of multiple UAVs with decentralized bearing-only formation control IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), IEEE, Piscataway, NJ, USA, 2215-2222.
pdf
Masone C Person, Robuffo Giordano P Person und Bülthoff HH Person (Mai-2011) Mechanical design and control of the new 7-DOF CyberMotion simulator IEEE International Conference on Robotics and Automation (ICRA 2011), IEEE, Piscataway, NJ, USA, 4935-4942.
Robuffo Giordano P Person, Masone C Person, Tesch J Person, Breidt M Person, Pollini L Person und Bülthoff HH Person (Mai-2010) A Novel Framework for Closed-Loop Robotic Motion Simulation - Part I: Inverse Kinematics Design 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), IEEE, Piscataway, NJ, USA, 3876-3883.
pdf
Robuffo Giordano P Person, Masone C Person, Tesch J Person, Breidt M Person, Pollini L Person und Bülthoff HH Person (Mai-2010) A Novel Framework for Closed-Loop Robotic Motion Simulation - Part II: Motion Cueing Design and Experimental Validation 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), IEEE, Piscataway, NJ, USA, 3896-3903.
pdf

Vorträge (1):

Masone C Person (Mai-2011): Mechanical Design and Control of the New 7-DOF CyberMotion Simulator, 5th Human Centered Motion Cueing Workshop at VTI, Göteborg, Sweden.

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Last updated: Dienstag, 23.09.2014