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Mars microrover navigation: Performance evaluation and enhancement

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Abstract

In 1996, NASA will launch the Mars Pathfinder spacecraft, which will carry an 11 kg rover to explore the immediate vicinity of the lander. To assess the capabilities of the rover, as well as to set priorities for future rover research, it is essential to evaluate the performance of its autonomous navigation system as a function of terrain characteristics. Unfortunately, very little of this kind of evaluation has been done, for either planetary rovers or terrestrial applications. To fill this gap, we have constructed a new microrover testbed consisting of the Rocky 3.2 vehicle and an indoor test arena with overhead cameras for automatic, real-time tracking of the true rover position and heading. We create Mars analog terrains in this arena by randomly distributing rocks according to an exponential model of Mars rock size frequency created from Viking lander imagery. To date, we have recorded detailed logs from over 85 navigation trials in this testbed. In this paper, we outline current plans for Mars exploration over the next decade, summarize the design of the lander and rover for the 1996 Pathfinder mission, and introduce a decomposition of rover navigation into four major functions: goal designation, rover localization, hazard detection, and path selection. We then describe the Pathfinder approach to each function, present results to date of evaluating the performance of each function, and outline our approach to enhancing performance for future missions. The results show key limitations in the quality of rover localization, the speed of hazard detection, and the ability of behavior control algorithms for path selection to negotiate the rock frequencies likely to be encountered on Mars. We believe that the facilities, methodologies, and to some extent the specific performance results presented here will provide valuable examples for efforts to evaluate robotic vehicle performance in other applications.

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References

  • Ballard, D.H. and Brown, C.M. 1992.Computer Vision. Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Brooks, R.A. 1986. A robust layered control system for a mobile robot.IEEE Journal on Robotics and Automation, RA-2(1).

    Google Scholar 

  • Christensen, P.R. and Moore, H.J. 1992. The Martian surface layer. In H.H. Kieffer, (ed.),Mars, Chap. 21, University of Arizona Press. pp. 686–729.

  • Fossum, E.R. 1993. Active pixel sensors: are CCD's dinosaurs? InProc. SPIE Conf. 1900: Charge-coupled devices and solid-state optical sensors III, pp. 1–13.

  • Gat, E., Desai, R., Ivlev, R., Loch, J., and Miller, D.P. 1994. Behavior control for robotic exploration of planetary surfaces.IEEE Journal of Robotics and Automation, 10(4):490–503.

    Google Scholar 

  • Hebert, M. and Krotkov, E. 1992. 3D measurements from imaging laser radars: how good are they?Image and Vision Computing, 10(3):170–178.

    Google Scholar 

  • Kaliardos, W.N. 1993. Sensors for autonomous navigation and hazard avoidance on a planetary micro-rover. Master's thesis, Massachusetts Institute of Technology. CSDL-T-1186.

  • Kieffer, H.H. (ed.) 1992.Mars. University of Arizona Press.

  • Matthies, L.H. 1992. Stereo vision for planetary rovers: stochastic modeling to near real-time implementation. InInternational Journal of Computer Vision, 8(1):71–91.

    Google Scholar 

  • Matthies, L.H. and Grandjean, P. 1994. Stochastic performance modeling and evaluation of obstacle detectability with imaging range sensors.IEEE Transactions on Robotics and Automation, 10(6):783–791.

    Google Scholar 

  • Mettala, E.G. 1992. The OSD tactical unmanned ground vehicle program. InProc. DARPA Image Understanding Workshop, Morgan Kaufmanm Publishers, pp. 159–172.

  • Moore, H.J. and Jakosky, B.M. 1989. Viking landing sites, remotesensing observations, and physical properties of Martian surface materials.Icarus, 81:164–184.

    Google Scholar 

  • Reiley, M.F., Carmer, D.C., and Pont, W.F. 1991. 3-D laser radar simulation for autonomous spacecraft landing. InProc. SPIE Int'l Symposium on High Power Lasers.

  • Volpe, R., Litwin, T., and Matthies, L. 1995. Mobile robot localization by remote viewing of a colored cylinder. InProc. 1995 Int'l Conf. on Intelligent Robots and Systems (IROS'95).

  • Wettergreen, D., Thorpe, C.E., and Whittaker, W. 1993. Exploring Mount Erebus by walking robot. InProc. 3rd Int'l Conf. on Intelligent Autonomous Systems (IAS-3), IOS Press, pp. 72–81.

  • Wilcox, B. et al. 1992. Robotic vehicles for planetary exploration. InProc. IEEE Int'l Conf. on Robotics and Automation, pp. 175–180.

  • Wilcox, B.H., Gennery, D.B., and Mishkin, A. 1988. Mars rover local navigation and hazard avoidance. InProc. SPIE Conf. 1007, Mobile Robots III, pp. 72–76.

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Matthies, L., Gat, E., Harrison, R. et al. Mars microrover navigation: Performance evaluation and enhancement. Auton Robot 2, 291–311 (1995). https://doi.org/10.1007/BF00710796

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Keywords

Navigation