Efficient Power-Aware Resource Constrained Scheduling and Execution for Planetary Rovers

1. Baglioni, P., Fisackerly, R., Gardini, B., Giafiglio, G., Pradier, A., Santovincenzo, A., Vago, J., Van Winnendael, M.: The Mars Exploration Plans of ESA (The ExoMars Mission and the Preparatory Activities for an International Mars Sample Return Mission). IEEE Robotics & Automation Magazine 13(2), 83–89 (2006)

   Article  Google Scholar 

2. Bresina, J.L., Jonsson, A.K., Morris, P.H., Rajan, K.: Activity planning for the mars exploration rovers. In: ICAPS, Monterey, California, USA, pp. 40–49. AAAI (2005)

   Google Scholar 

3. Cesta, A., Cortellessa, G., Denis, M., Donati, A., Fratini, S., Oddi, A., Policella, N., Rabenau, E., Schulster, J.: Mexar2: AI Solves Mission Planner Problems. IEEE Intelligent Systems 22(4), 12–19 (2007)

   Article  Google Scholar 

4. Cesta, A., Oddi, A., Smith, S.F.: A Constraint-Based Method for Project Scheduling with Time Windows. J. Heuristics 8(1), 109–136 (2002)

   Article  MATH  Google Scholar 

5. Chien, S., Sherwood, R., Tran, D., Cichy, B., Rabideau, G., Castaño, R., Davies, A., Mandl, D., Frye, S., Trout, B., D’Agostino, J., Shulman, S., Boyer, D., Hayden, S., Sweet, A., Christa, S.: Lessons learned from autonomous sciencecraft experiment. In: Fourth International Joint Conference on AAMAS, pp. 11–18. ACM, New York (2005)

   Google Scholar 

6. Chien, S., Sherwood, R., Tran, D., Cichy, B., Rabideau, G., Castano, R., Davies, A., Lee, R., M, D., Frye, S., Trout, B., Hengemihle, J., Shulman, S., Ungar, S., Brakke, T.: The EO-1 autonomous science agent. In: AAMAS, New York City, NY, USA (2004)

   Google Scholar 

7. Coles, A., Coles, A., Fox, M., Long, D.: A Hybrid LP-RPG Heuristic for Modelling Numeric Resource Flows in Planning. J. Artif. Int. Res. 46(1), 343–412 (2013). http://dl.acm.org/citation.cfm?id=2512538.2512548

   MathSciNet  MATH  Google Scholar 

8. Conrad, P.R., Williams, B.: Drake: An Efficient Executive for Temporal Plans with Choice (January 2014). ArXiv e-prints

   Google Scholar 

9. Diaz, D., Moreno, M.D., Cesta, A., Oddi, A., Rasconi, R.: Efficient Energy Management for Autonomous Control in Rover Missions. IEEE Computational Intelligence Magazine, Special Issue on Computational Intelligence for Space Systems and Operations 8, 12–24 (2013)

   Article  Google Scholar 

10. Ghallab, M., Nau, D., Traverso, P.: The actor’s view of automated planning and acting: A position paper. Artificial Intelligence 208, 1–17 (2014). http://www.sciencedirect.com/science/article/pii/S0004370213001173

    Article  Google Scholar 

11. Ingrand, F., Lacroix, S., Lemai-Chenevier, S., Py, F.: Decisional autonomy of planetary rovers. J. Field Robotics 24(7), 559–580 (2007)

    Article  Google Scholar 

12. Maimone, M.W., Leger, P.C., Biesiadecki, J.J.: Overview of the mars exploration rovers autonomous mobility and vision capabilities. In: IEEE International Conference on Robotics and Automation (ICRA), Roma, Italy (2007)

    Google Scholar 

13. Mishkin, A., Morrison, J., Nguyen, T., Stone, H., Cooper, B., Wilcox, B.: Experiences with operations and autonomy of the mars pathfinder microrover. In: IEEE Aerospace Conference, Snowmass, CO, USA (1998)

    Google Scholar 

14. Murphy, R.R.: Introduction to AI Robotics. MIT Press (2000)

    Google Scholar 

15. Muscettola, N., Nayak, P., Pell, B., Williams, B.: Remote Agents: To Boldly Go Where No AI Systems Has Gone Before. Artificial Intelligence 103(1–2), 5–48 (1998)

    Article  MATH  Google Scholar 

16. Nayak, P.P., Kurien, J., Dorais, G., Millar, W., Rajan, K., Kanefsky, R., Bernard, E.D., Gamble Jr., E.B., Rouquette, N., Smith, D.B., Tung, Y.W., Muscoletta, N., Taylor, W.: Validating the DS1 remote agent experiment. In: International Conference on Artificial Intelligence, Beijing, China, vol. 440 (1999)

    Google Scholar 

17. Poulakis, P., Joudrier, L., Wailliez, S., Kapellos, K.: 3DROV: a planetary rover system design, simulation and verification tool. In: 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Hollywood, USA (2008)

    Google Scholar 

18. Putz, P., Elfving, A.: Control Techniques 2, Automation and Robotics Control Development Methodology Definition Report. Tech. Rep. ESA CT2/CDR/DO (1992)

    Google Scholar 

19. Rasconi, R., Cesta, A., Policella, N.: Validating scheduling approaches against executional uncertainty. Journal of Intelligent Manufacturing 21(1), 49–64 (2010). http://dx.doi.org/10.1007/s10845-008-0172-7

    Article  Google Scholar 

20. Smith, S.F.: Is scheduling a solved problem? In: Kendall, G., Burke, E., Petrovic, S. (eds.) Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003), Nottingham, UK, pp. 11–20, August 13–16, 2003

    Google Scholar 

21. Wettergreen, D., Cabrol, N., Teza, J., Tompkins, P., Urmson, C., Verma, V., Wagner, M., Whittaker, W.: First experiments in the robotic investigation of life in the Atacama Desert of Chile. In: International Conerence on Robotics and Automation, Barcelona, Spain, pp. 9–12890 (2005)

    Google Scholar 

Download references