Experimental Study of High-speed Rough-terrain Mobile Robot Models for Reactive Behaviors

  • Karl Iagnemma
  • Dariusz Golda
  • Matthew Spenko
  • Steven Dubowsky
Conference paper
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 5)


High-speed mobile robots have many important applications in rough terrain. At high speeds, it is difficult to guarantee safe robot motion using traditional control and planning techniques. This paper presents an experimental high-speed rover system for studying reactive behavior control to avoid potentially dangerous situations. The method consists of sensor-triggered maneuvers that have been shown by a priori model-based analysis to be safe. The paper discusses vehicle and terrain models for model-based analysis. Experimental results show that behaviors based on detailed models can accurately predict the dynamics of mobile robots in rough terrain.


Mobile Robot Front Wheel Rear Wheel Reactive Behavior Rough Terrain 
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  1. [1]
    Ben Amar, F. (1997) Steering Behavior and Control of Fast Wheeled Robots. In: Proceedings of the IEEE Conference on Intelligent Robots and Systems, IROSGoogle Scholar
  2. [2]
    Cunningham, J., Roberts, J., Corke, P., and Durrant-Whyte, H. (1998) Automation of Underground LHD and Truck Haulage. In: Proceedings of Australian IMM Annual Conference, 241–246Google Scholar
  3. [3]
    Frazzoli, E. (2001) Robust Hybrid Control for Autonomous Vehicle Motion Planning. Ph.D. Thesis, Massachusetts Institute of TechnologyGoogle Scholar
  4. [4]
    Gerhart, G., Goetz, R., and Gorsich, D. (1999) Intelligent Mobility for Robotic Vehicles in the Army After Next. In: Proceedings of the SPIE Conference on Unmanned Ground Vehicle Technology, Vol. 3693Google Scholar
  5. [5]
    Golombek, M. P. (1998) Mars Pathfinder Mission and Science Results. In: Proceedings of the 29th Lunar and Planetary Science ConferenceGoogle Scholar
  6. [6]
    Gonthier, Y. and Papadopoulos, E. (1998) On the Development of a Real-time Simulator for an Electro-Hydraulic Forestry Machine. In: Proceedings of IEEE International Conference on Robotics and AutomationGoogle Scholar
  7. [7]
    Iagnemma, K., Shibly, H., and Dubowsky, S. (2002) On-Line Terrain Parameter Estimation for Planetary Rovers. In: Proceedings of the 2002 IEEE International Conference on Robotics and AutomationGoogle Scholar
  8. [8]
    Iagnemma, K., Genot, F., and Dubowsky, S. (1999) Rapid Physics-Based Rough-Terrain Rover Planning with Sensor and Control Uncertainty. In: Proceedings of the 1999 IEEE International Conference on Robotics and Automation, pp. 2286–2291Google Scholar
  9. [9]
    Kelly, A., Stentz, A. (1998) Rough Terrain Autonomous Mobility-Part 2: An Active Vision, Predictive Control Approach. In: Autonomous Robots, Volume 5, pp. 163–198zbMATHCrossRefGoogle Scholar
  10. [10]
    Osborn, J.F. (1989) Applications of Robotics in Hazardous Waste Management. In: Proceedings of the SME 1989 World Conference on Robotics ResearchGoogle Scholar
  11. [11]
    Peng, H., and Tomizuka, M. (1993) Preview Control for Vehicle Lateral Guidance in Highway Automation. In: ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 155Google Scholar
  12. [12]
    Wong, J. (1993) Theory of Ground Vehicles. John Wiley and SonsGoogle Scholar
  13. [13]
    Wong, J., and Reece, A (1967) Prediction of Rigid Wheels Performance Based on Analysis of Soil-Wheel Stresses, Part I. In: Journal of Terramechanics, Volume 4, Number 1, pp. 81–98CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Karl Iagnemma
    • 1
  • Dariusz Golda
    • 1
  • Matthew Spenko
    • 1
  • Steven Dubowsky
    • 1
  1. 1.Department of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeUSA

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