Field Robots

  • Pål Johan From
  • Jan Tommy Gravdahl
  • Kristin Ytterstad Pettersen
Part of the Advances in Industrial Control book series (AIC)


Several mobile robots have been developed to operate in distant fields with low accessibility, and robotic solutions have now become imperative to the monitoring and surveillance of many of these fields. By adding manipulator arms to the robot base we can bring another dimension to these robots as they will be able to perform interaction tasks and manipulation in the field. Agricultural robotics is one important area where robots with manipulator arms and advanced sensory systems can revolutionize today’s technology with more efficient pruning and harvesting, surveillance and monitoring, and precision farming in general.

This chapter discusses the most important aspects of field robotics, including efficient locomotion found in for example wheeled robots. The dynamic equations of field robots with manipulator arms are found with particular focus on robots that operate on land, either on Earth or in space such as the moon and distant planets.


Mobile Robot Configuration Space Kinematic Constraint Body Frame Snake Robot 


  1. Bergerman, M. (2012). Results with autonomous vehicles operating in specialty crops. In Proceedings of IEEE international conference on robotics and automation (pp. 1829–1835). Google Scholar
  2. Ceccarelli, M. (2012). Premier reference source. Service robots and robotics: design and application. IGI Global. CrossRefGoogle Scholar
  3. Choset, H., Lynch, K. M., Hutchinson, S., Kantor, G. A., Burgard, W., Kavraki, L. E., & Thrun, S. (2005). Principles of robot motion: theory, algorithms, and implementations. Cambridge: MIT Press. Google Scholar
  4. Dudek, G., & Jenkin, M. (2000). Computational principles of mobile robotics. New York: Cambridge University Press. MATHGoogle Scholar
  5. Duindam, V., & Stramigioli, S. (2008). Singularity-free dynamic equations of open-chain mechanisms with general holonomic and nonholonomic joints. IEEE Transactions on Robotics, 24(3), 517–526. CrossRefGoogle Scholar
  6. Freitas, G., Lizarralde, F., Hsu, L., & Dos Reis, N. R. S. (2009). Kinematic reconfigurability of mobile robots on irregular terrains. In Proceedings of IEEE international conference on robotics and automation (pp. 823–828). Google Scholar
  7. Iagnemma, K., & Dubowsky, S. (2004). Springer tracts in advanced robotics. Mobile robots in rough terrain: estimation, motion planning, and control with application to planetary rovers. Berlin: Springer. Google Scholar
  8. Lazinica, A. (2006). Mobile robots: towards new applications. I-Tech Education and Publishing. CrossRefGoogle Scholar
  9. Liljebäck, P., Pettersen, K. Y., Stavdahl, Ø., & Gravdahl, J. T. (2013). Snake robots modelling, mechatronics, and control. Berlin: Springer. CrossRefMATHGoogle Scholar
  10. Messuri, D., & Klein, C. (1985). Automatic body regulation for maintaining stability of a legged vehicle during rough-terrain locomotion. IEEE Journal of Robotics and Automation, 1(3), 132–141. CrossRefGoogle Scholar
  11. Siegwart, R., & Nourbakhsh, I. R. (2004). Introduction to autonomous mobile robots. Scituate: Bradford Company. Google Scholar
  12. Stachniss, C. (2009). Springer tracts in advanced robotics. Robotic mapping and exploration. Berlin: Springer. CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Pål Johan From
    • 1
  • Jan Tommy Gravdahl
    • 2
  • Kristin Ytterstad Pettersen
    • 2
  1. 1.Department of Mathematical Sciences and TechnologyNorwegian University of Life SciencesÅsNorway
  2. 2.Department of Engineering CyberneticsNorwegian Univ. of Science & TechnologyTrondheimNorway

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