Motion planning in uncertain environments with vision-like sensors

Automatica

Volumn 43, Issue 12, 2007, Pages 2104-2111

  Chakravorty, Suman ^a   Junkins, John L ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Dynamic programming; Intelligent control; Stochastic adaptive optimal control; Vision sensors

Indexed keywords

ALGORITHMS; DYNAMIC PROGRAMMING; INTELLIGENT CONTROL; MOBILE ROBOTS; SENSORS; UNCERTAIN SYSTEMS; UNMANNED AERIAL VEHICLES (UAV);

PLANNING ALGORITHMS; STOCHASTIC ADAPTIVE OPTIMAL CONTROL; VISION SENSORS;

MOTION PLANNING;

EID: 36248946820     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2007.04.022     Document Type: Article

References (17)

1. Bertsekas D.P., and Tsitsiklis J.N. Neuro-dynamic programming (1996), Athena, Belmont, MA
2. Chakravorty S., and Junkins J.L. A methodology for intelligent path planning. Proceedings of the 2005 IEEE international symposium intelligent control (2005) 592-597
3. Chakravorty S., and Junkins J.L. Intelligent exploration of unknown environemnts using vision-like sensors. Proceedings of the 2005 IEEE/ASME international conference on advanced intelligent mechatronics (2005) 1204-1209
4. Davis J., and Chakravorty S. Motion planning in uncertain environemnts: Application to an unmanned helicopter. Proceedings of the 2006 IEEE conference on decision and control (CDC 06) (2006), IEEE Press, Piscataway, NJ 6814-6819
5. Horn R.A., and Johnson C.R. Matrix analysis (1993), Cambridge University Press, New york, NY
6. Hu H., and Brady M. Dynamic global path planning with uncertainty for mobile robots in manufacturing. IEEE Transactions on Robotics and Automation 13 5 (1997) 760-767
7. Isaacsen, D.L., Madsen, R.W. (1978). Markov Chains Theory and Applications, Wiley Series in probability and Mathematical Statistics.
8. Kumar P.R., and Varaiya P. Stochastic systems: Estimation, identification and adaptivecontrol (1986), Prentice Hall, Englewood Cliffs, NJ
9. Latombe J.C. Robot motion planning (1991), Kluwer, Boston, MA
10. Latombe J.C., Lazanas A., and Shekhar S. Robot motion planning with uncertainty in control and sensing. Artificial Intelligence 52 (1991) 1-47
11. Lavalle S.M. Robot motion planning: A game-theoretic foundation. Algorithmica 26 (2000) 430-465
12. Lavalle S.M. Planning algorithms (2006), Cambridge University Press, Cambridge, UK
13. Mason M.T. Automatic planning of fine motions: Correctness and completeness. Proceedings of IEEE conference robotics and automation (1989) 484-489
14. Neveu J. Discrete parameter martingales (1975), North-Holland, Amsterdam
15. Sutton R.S., and Barto A.G. Reinforcement learning: An introduction (1998), MIT Press, Cambridge, MA
16. Thrun S. Probabilistic algorithms in robotics. AI Magazine 21 4 (2000) 93-109
17. Thrun S. A probabilistic on-line mapping algorithm for teams of mobile robots. The International Journal of Robotic Research 20 5 (2001) 335-363