Risk Prediction of a Behavior-based Adhesion Control Network for Online Safety Analysis of Wall-climbing Robots

Daniel Schmidt, Karsten Berns

2012

Abstract

Risk analysis in combination with terrain classification is a common approach in mobile robotics to adapt robot control to surface conditions. But for climbing robots it is hard to specify, how the robotic system and especially the adhesion is affected by different surfaces and environmental features. This paper will introduce the climbing robot CROMSCI using negative pressure adhesion via multiple chambers, adaptive inflatable sealings and an omnidirectional drive system. It presents the used behavior-based control network which allows the balancing of adhesion force, but fails in extreme situations. Therefore, a risk prediction has been developed which evaluates behavioral meta-data and allows an estimation of current hazards caused by the environment. This prediction is used to perform evasive actions to prevent the robot from falling down.

References

  1. Castelnove, M., Arkin, R., and Collins, T. R. (2005). Reactive speed control system based on terrain roughness detection. In IEEE International Conference on Robotics and Automation, volume 1, pages 891-896.
  2. Gerdes, I., Klawonn, F., and Kruse, R. (2004). Evolutionäre Algorithmen. Vieweg Verlag, Germany, 1. edition.
  3. Kelly, A. and Stentz, A. (1998). Rough terrain autonomous mobility - Part 1: A theoretical analysis of requirements. Autonomous Robots, 5(2):129-161.
  4. Kim, D., Sun, J., Oh, S. M., Rehg, J. M., and Bobick, A. F. (2006). Traversability classification using unsupervised on-line visual learning for outdoor robot navigation. In IEEE International Conference on Robotics and Automation (ICRA) 2006, pages 518-525.
  5. Luk, B. L., Cooke, D. S., and others (2001). Intelligent Legged Climbing Service Robot For Remote Inspection And Maintenance In Hazardous Environments. In 8th Conference on Mechatronics and Machine Vision in Practice, pages 252-256.
  6. Proetzsch, M., Luksch, T., and Berns, K. (2010). Development of complex robotic systems using the behaviorbased control architecture iB2C. Robotics and Autonomous Systems, 58(1):46-67.
  7. Schmidt, D. and Berns, K. (2011). Behavior-based adhesion control system for safe adherence of wall-climbing robots. In 14th International Conference on Climbing and Walking Robots (CLAWAR), pages 857-864.
  8. Schmidt, D., Hillenbrand, C., and Berns, K. (2011). Omnidirectional locomotion and traction control of the wheel-driven, wall-climbing robot, Cromsci. Robotica Journal, 29(7):991-1003.
  9. Shang, J., Bridge, B., Sattar, T., Mondal, S., and Brenner, A. (2008). Development of a climbing robot for inspection of long weld lines. Industrial Robot: An International Journal, 35(3):217-223.
  10. Spears, W. M. (1993). Crossover or mutation. In Foundations of Genetic Algorithms, volume 2, pages 221- 237.
  11. Stavens, D. and Thrun, S. (2006). A self-supervised terrain roughness estimator for off-road autonomous driving. In Conference on Uncertainty in Artificial Intelligence (UAI), pages 469-476.
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Paper Citation


in Harvard Style

Schmidt D. and Berns K. (2012). Risk Prediction of a Behavior-based Adhesion Control Network for Online Safety Analysis of Wall-climbing Robots . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 118-123. DOI: 10.5220/0003974701180123


in Bibtex Style

@conference{icinco12,
author={Daniel Schmidt and Karsten Berns},
title={Risk Prediction of a Behavior-based Adhesion Control Network for Online Safety Analysis of Wall-climbing Robots},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={118-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003974701180123},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Risk Prediction of a Behavior-based Adhesion Control Network for Online Safety Analysis of Wall-climbing Robots
SN - 978-989-8565-21-1
AU - Schmidt D.
AU - Berns K.
PY - 2012
SP - 118
EP - 123
DO - 10.5220/0003974701180123