Improving rover mobility through traction control: simulating rovers on the Moon

Author:

Gonzalez Ramon,Apostolopoulos Dimi,Iagnemma Karl

Funder

Ames Research Center

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference20 articles.

1. Andrews, D., Colaprete, A., Quinn, J., Bluethmann, B., & Trimble, J. (2015). Resource prospector (RP)—Early prototyping and development. In AIAA SPACE conference and exposition. Pasadena, CA, USA: AIAA.

2. Arvidson, R., DeGrosse, P., Grotzinger, J., Heverly, M., Shechet, J., Moreland, S., et al. (2017). Relating geologic units and mobility system kinematics contributing to Curiosity wheel damage at Gale Crater, Mars. Journal of Terramechanics, 73, 73–93.

3. Baumgartner, E., Aghazarian, H., Trebi-Ollennu, A., Huntsberger, T., & Garrett, M. (2000). State estimation and vehicle localization for the FIDO Rover. In G. McKee, & P. Schenker (Eds.), Proceedings of SPIE, sensor fusion and decentralized control in robotic systems III (Vol. 4196).

4. Gonzalez, R., Apostolopoulos, D., & Iagnemma, K. (2018). Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing. Journal of Field Robotics, 35(2), 231–247.

5. Gonzalez, R., & Iagnemma, K. (2018). Slippage estimation and compensation for planetary exploration rovers. State of the art and future challenge. Journal of Field Robotics, 35(4), 564–577.

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