Visualization of robot's awareness and perception

Today, direct interaction between humans and robots is limited, although the combination of human flexibility and robots power enables a growing productivity. The problem for humans lies in the nearly unpredictable behavior and motion of the robot itself. However, we can enhance human's view with more information to get knowledge about robot's perception and awareness. We use Augmented Reality methods for providing the information in an adaptable visualization for different user types. We show that our approach leads to shorter development cycles as well as to safer human-robot interaction.

[1]  Michael Schulze FAMOUSO - Eine adaptierbare Publish/Subscribe Middleware für ressourcenbeschränkte Systeme , 2009, Electron. Commun. Eur. Assoc. Softw. Sci. Technol..

[2]  Jürgen Gausemeier,et al.  Using Augmented Reality Technology to Support the Automobile Development , 2004, CSCWD.

[3]  Hubert-Marcus Piontek Self-description mechanisms for embedded components in cooperative systems , 2007 .

[4]  T. Alt,et al.  Augmented Reality for manufacturing planning , 2003, IPT/EGVE.

[5]  Bernd Schwald,et al.  An Augmented Reality System for Training and Assistence to Maintenance in the Industrial Context , 2003, WSCG.

[6]  Tom Henderson,et al.  Logical sensor systems , 1984, J. Field Robotics.

[7]  Sebastian Zug,et al.  Exploiting the FAMOUSO middleware in multi-robot application development with Matlab/Simulink , 2008, Companion '08.

[8]  Dominik Henrich,et al.  Path planning and execution in fast-changing environments with known and unknown obstacles , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Jörg Kaiser,et al.  An approach towards smart fault-tolerant sensors , 2009, 2009 IEEE International Workshop on Robotic and Sensors Environments.

[10]  J. Burgoon,et al.  Nonverbal Communication , 2018, Encyclopedia of Evolutionary Psychological Science.

[11]  Jochen Triesch,et al.  GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation , 1999, Auton. Robots.

[12]  Ren C. Luo,et al.  Multisensor integration and fusion for intelligent machines and systems , 1995 .

[13]  Roland Siegwart,et al.  On developing a voice-enabled interface for interactive tour-guide robots , 2003, Adv. Robotics.

[14]  Keith Marzullo,et al.  Tolerating failures of continuous-valued sensors , 1990, TOCS.

[15]  Raimund Dachselt,et al.  PaperLens: advanced magic lens interaction above the tabletop , 2009, ITS '09.

[16]  Holger Regenbrecht,et al.  Augmented reality projects in the automotive and aerospace industries , 2005, IEEE Computer Graphics and Applications.

[17]  Greg Paula Cobots for the assembly line , 1997 .

[18]  Holger Regenbrecht,et al.  Augmented Reality Projects in Automotive and Aerospace Industry , 2005 .

[19]  Jörg Kaiser,et al.  Exploiting publish/subscribe communication in wireless mesh networks for industrial scenarios , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.