Project Leader

Dr. Paolo Robuffo Giordano
Phone: +49 7071 601-211
Fax: +49 7071 601-616
paolo.robuffo-giordano[at]tuebingen.mpg.de
 

People

Group Members
 

HRI Overview Poster


News

05/2011 ICRA 2011 Workshop "Towards Autonomous Physical Human-Robot Interaction", Shangai, China

04/2011-06/2011 New course: Analysis and Control of Multi-agent Systems, Institute for Systems Theory and Automatic Control, University of Stuttgart. Lectures: D. Zelazo and P. Robuffo Giordano

10/2010 3rd Workshop for Young Researchers on Human-Friendly Robotics, Max Planck Institute for Biological Cybernetics

08/2010 IEEE Spectrum Magazine article on the motion control of the CyberMotion simulator for provide self-motion feedback when piloting virtual vehicles

04/2010 IEEE Spectrum Magazine article on the motion control of the CyberWalk platform for exploring virtual worlds by locomotion

Five most recent Publications

Nesti A Person, Masone C Person, Barnett-Cowan M Person, Robuffo Giordano P Person, Bülthoff HH Person and Pretto P Person (September-2012) Roll rate thresholds and perceived realism in driving simulation Driving Simulation Conference 2012 Europe (DSC), -. in press
Zelazo D , Franchi A Person, Allgöwer P , Bülthoff HH Person and Robuffo Giordano P Person (July-2012) Rigidity Maintenance Control for Multi-Robot Systems 2012 Robotics: Science and Systems Conference, -. accepted
Riedel M Person, Franchi A Person, Robuffo Giordano P Person, Bülthoff HH Person and Son HI Person (June-2012) Experiments on Intercontinental Haptic Control of Multiple UAVs 12th International Conference on Intelligent Autonomous Systems (IAS-12), -. accepted
pdf
Cognetti M Person, Stegagno P , Franchi A Person, Oriolo G and Bülthoff HH Person (May-2012) 3-D Mutual Localization with Anonymous Bearing Measurements IEEE International Conference on Robotics and Automation (ICRA 2012), -. accepted
Secchi C , Franchi A Person, Bülthoff HH Person and Robuffo Giordano P Person (May-2012) Bilateral Teleoperation of a Group of UAVs with Communication Delays and Switching Topology IEEE International Conference on Robotics and Automation (ICRA 2012), -. accepted
pdf

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Human Robot Interaction Group

The aim of the Human-Robot Interaction group is to study novel ways to interface humans with robots, i.e., autonomous machines that are able to sense the environment, reason about it, and take actions to perform some tasks. 

These efforts are guided by the accepted vision that in the future humans and robots will seamlessly cooperate in shared or remote spaces, thus becoming an integral part of our daily life. For instance, robots are expected to relieve us from monotonous and physically demanding work in industrial settings, or help humans in dealing with complex/dangerous tasks, thus augmenting their capabilities. This research group tries to address these challenges from an engineering/computer science point of view: our focus in mainly on (i) how to empower robots with the needed autonomy in order to facilitate the interaction with the human side for accomplishing some shared task, and (ii) how to allow a human user to effectively be in control of a robot(s) while performing a task.
To this end, we rely on the tools of roboticssystems and control theorycomputer vision, and psychophysics.
A good example that illustrates our philosophy is probably given by the telepresence/telerobotics scenarios: exploit remote robot(s) as an extension, or even an augmentation, of the humans' senses and actions. This roughly means that
  • the robot(s) should be able to autonomously reason about their remote environment, i.e., to possess a significant level of autonomy in order to perform local tasks and take decisions;
  • the human user should be able to dispatch his/her actions to the remote site, and to receive a suitable sensory feedback for an appropriate (remote) situational awareness;
  • a flexible level of control/coupling between human user and robot(s) should be possible: from a tight direct control for, e.g., remote manipulation tasks, to a more abstract supervisory control for, e.g., remote navigation tasks.

Main research areas

Vestibular Channel (MPI CyberMotion Simulator)
An ideal telepresence should enable the user to perceive and act on the remote environment as if sensed directly. Such a system should then reproduce the full multisensory flow of information that humans experience through their senses: vision, haptics, hearing, vestibular (self-motion) information, and even smell and taste. While visual and haptics channels have traditionally been exploited in, e.g., many teleoperation settings, little or no attention has been paid to the use of the vestibular channel, i.e., the perception of self linear/angular motion. The following page reports our work on the use of a robotic arm as a motion platform in order to provide vestibular (self-motion) cues to a human pilot when driving a simulated or real vehicle.
[more]
 
Human/multi-robot interaction (Swarm Teleoperation)
We are investigating the case of interaction between remote multiple robots and a human operator. Multi-robot systems possess several advantages w.r.t. single robots, e.g., higher performance in simultaneous spatial domain coverage, better affordability as compared to a single/bulky system, robustness against single point failures. In our research, we study how to dispatch the human command to multiple remote robots, how to allow the multi-robot system to follow the human's command while maintaining some desired spatial configuration, and how to feed back to the human operator some useful information about the remote site. 
 [more]
 
Self-Localization and Navigation (Vision and RFIDs)
As the robots need high level of autonomy, in particular for what concerns self-localization, navigation and map building, we are exploring the use of onboard sensing (vision, IMUs, lasers) and external infrastructures (GPS, radio beacons) to address these problems in indoor and outdoor settings.
 [more]
Last updated: Monday, 07.05.2012