MAR-CPS: Measurable augmented reality for prototyping Cyber-Physical systems

AIAA Infotech at Aerospace

Volumn , Issue , 2015, Pages

  Omidshafiei, Shayegan ^a,b   Agha Mohammadi, Ali Akbar ^a,b   Chen, Yu Fan ^a,b   Kemal Ure, N ^a,b   How, Jonathan P ^a,b   Vian, John ^c   Surati, Rajeev ^d  

^a xute of Technology   (United States)

^b Massachusetts Institute of Technology   (United States)

^c BOEING COMPANY   (United States)

^d Scalable Display Technologies   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY; AUTONOMOUS VEHICLES; CYBER PHYSICAL SYSTEM; EMBEDDED SYSTEMS; LABORATORIES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MACHINE DESIGN; MOTION PLANNING; MULTI AGENT SYSTEMS; NETWORK ARCHITECTURE; PROJECTION SYSTEMS; ROBOT PROGRAMMING; SAFETY TESTING;

COMMUNICATION TECHNOLOGIES; CYBER PHYSICAL SYSTEMS (CPSS); DESIGN AND IMPLEMENTATIONS; HARD-WARE-IN-THE-LOOP; MASSACHUSETTS INSTITUTE OF TECHNOLOGY; MULTI-ROBOT COORDINATION; PROPOSED ARCHITECTURES; REAL WORLD EXPERIMENT;

VEHICLE TO VEHICLE COMMUNICATIONS;

EID: 85088358215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2015-0643     Document Type: Conference Paper

References (20)

1. Federal Aviation Administration. Faa: Coa: Frequently asked questions, 2014. Online https://www.faa.gov/about/ office:org/headquarters_offices/ato/service:units/systemops/aaim/organizations/uas/coa/faq/.
2. J. P. How, B. Bethke, A. Frank, D. Dale, and J. Vian. Real-time indoor autonomous vehicle test environment. IEEE Control Systems Magazine, 28(2):51-64, April 2008.
3. D. Cruz, J. McClintock, B. Perteet, O. Orqueda, Y. Cao, and R. Fierro. Decentralized cooperative control: A multivehicle platform for research in networked embedded systems. IEEE Control Systems Magazine, 27(3):58-78, June 2007.
4. G. Hoffman, D. G. Rajnarayan, S. L. Waslander, D. Dostal, J. S. Jang, and C. Tomlin. The stanford testbed of autonomous rotorcraft for multi agent control (starmac). In Proceedings of the IEEE Digital Avionics Systems Conference, Salt Lake City, UT, November 2004.
5. E. N. Johnson and D. P. Schrage. System integration and operation of a research unmanned aerial vehicle. AIAA Journal of Aerospace Computing, Information, and Communication, 1:5-18, 2004.
6. T. John Koo. Vanderbilt embedded computing platform for autonomous vehicles (vecpav). Available at http://www.vuse.vanderbilt.edu/ kootj/Projects/VECPAV/, July 2006.
7. Alphan Ulusoy, Michael Marrazzo, Konstantinos Oikonomopoulos, Ryan Hunter, and Calin Belta. Temporal logic control for an autonomous quadrotor in a nondeterministic environment. In ICRA, pages 331-336. IEEE, 2013.
8. Fabrizio Ghiringhelli, Jerome Guzzi, Gianni A. Di Caro, Vincenzo Caglioti, Luca Maria Gambardella, and Alessandro Giusti. Interactive augmented reality for understanding and analyzing multi-robot systems. In IROS, 2014.
9. Florian Leutert, Christian Herrmann, and Klaus Schilling. A spatial augmented reality system for intuitive display of robotic data. In Proceedings of the 8th ACM/IEEE International Conference on Human-robot Interaction, HRI’13, pages 179-180, Piscataway, NJ, USA, 2013. IEEE Press.
10. Oculus VR. Oculus vr, 2014. Online http://www.oculus.com/.
11. Mike Daily, Youngkwan Cho, Kevin Martin, and Dave Payton. World embedded interfaces for human-robot interaction. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS’03) - Track 5 - Volume 5, HICSS’03, pages 125.2-, Washington, DC, USA, 2003. IEEE Computer Society.
12. Vicon Motion Systems. Motion capture systems from Vicon, 2008. Online http://www.vicon.com/.
13. M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A.Y. Ng. ROS: an open-source robot operating system. In ICRA Workshop on Open Source Software, volume 3, 2009.
14. Scalable Display Technologies. Scalable display technologies, 2014. Online http://www.scalabledisplay.com/.
15. Christian Berger and Bernhard Rumpe. Engineering autonomous driving software. CoRR, abs/1409.6579, 2014.
16. Ali-akbar Agha-mohammadi, Nazim Kemal Ure, Jonathan P How, and John Vian. Health aware stochastic planning for persistent package delivery missions using quadrotors. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago,IL, 2014.
17. N. Kemal Ure, Shayegan Omidshafiei, Thomas Brett Lopez, Ali akbar Agha-mohammadi, Jonathan P. How, and john Vian. Heterogeneous Multiagent Learning with Applications to Forest Fire Management. In IEEE International Conference on Robotics and Automation (ICRA), 2015 (Submitted).
18. Yu Fan Chen, N. Kemal Ure, Girish Chowdhary, Jonathan P. How, and John Vian. Planning for large-scale multiagent problems via hierarchical decomposition with applications to uav health management. In American Control Conference (ACC), Portland, OR, June 2014.
19. Ali-akbar Agha-mohammadi, Suman Chakravorty, and Nancy Amato. FIRM: Sampling-based feedback motion planning under motion uncertainty and imperfect measurements. International Journal of Robotics Research (IJRR), 33(2):268-304, 2014.
20. S. Ferguson, B. Luders, R. C. Grande, and J. P. How. Real-time predictive modeling and robust avoidance of pedestrians with uncertain, changing intentions. In Proceedings of the Workshop on the Algorithmic Foundations of Robotics, Istanbul, Turkey, August 2014.