1,270
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Multi-agent motion planning for nonlinear Gaussian systems

&
Pages 2075-2089 | Received 19 Dec 2012, Accepted 16 Jul 2013, Published online: 10 Sep 2013

References

  • Blackmore , L . “ A probabilistic particle control approach to optimal, robust predictive control ” . In Proceedings of the AIAA Guidance, Navigation and Control Conference. 21–24 August 2006, Keystone, Colorado.
  • Blackmore , L. and Ono , M . “ Convex chance constrained predictive control without sampling ” . In Proceedings of the AIAA Guidance, Navigation and Control Conference. 10–13 August 2009, Chicago, Illinois
  • Blackmore , L. , Li , H. and Williams , B . “ A probabilistic approach to optimal robust path planning with obstacles ” . In Proceedings of the IEEE American Control Conference. 14–16 June 2006, Minneapolis, Minnesota.
  • Du Toit , N. E. and Burdick , J. W. 2011 . Probabilistic collision checking with chance constraints . IEEE Transactions on Robotics , 27 ( 4 ) : 809 – 815 . doi: 10.1109/TRO.2011.2116190
  • Frazzoli , E. , Dahleh , M. A. and Feron , E. 2002 . Real-time motion planning for agile autonomous vehicles . AIAA Journal of Guidance, Control, and Dynamics, , 25 ( 1 ) : 116 – 129 . doi: 10.2514/2.4856
  • Fulgenzi , C. , Tay , C. , Spalanzani , A. and Laugier , C . “ Probabilistic navigation in dynamic environment using rapidly-exploring random trees and gaussian processes ” . In Proceedings of the IEEE International Conference on Intelligent Robots and Systems 1056 – 1062 .
  • Gossner , J. R. , Kouvaritakis , B. and Rossiter , J. A. 1997 . Stable generalized predictive control with constraints and bounded disturbances . Automatica, , 33 ( 4 ) : 551 – 568 . doi: 10.1016/S0005-1098(96)00214-2
  • Kewlani , G. , Ishigami , G. and Iagnemma , K . “ Stochastic mobility-based path planning in uncertain environments ” . In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2009 (pp. 1183–1189). 11–15 October 2009, St. Louis
  • Kothari , M. and Postlethwaite , I. 2013 . A probabilistically robust path planning algorithm for UAVs using rapidly-exploring random trees . Journal of Intelligent & Robotic Systems, , 71 ( 2 ) : 231 – 253 . doi: 10.1007/s10846-012-9776-4
  • Kothari , M. , Postlethwaite , I. and Gu , D. -W . “ Multi-UAV path planning in obstacle rich environments using rapidly-exploring random trees ” . In Proceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. 16–18 December 2009, Shanghai.
  • Kuwata , Y. , Richards , A. and How , J. 2007, July . Robust receding horizon control using generalized constraint tightening . Proceedings of the IEEE American Control Conference , : 4482 – 4487 . New York City, NY
  • Kuwata , Y. , Teo , J. , Fiore , G. , Karaman , S. , Frazzoli , E. and How , J. P. 2009 . Real-time motion planning with applications to autonomous urban driving . IEEE Transactions on Control Systems Technology, , 17 ( 5 ) : 1105 – 1118 . doi: 10.1109/TCST.2008.2012116
  • Lambert , A. , Gruyer , D. and Pierre , G . “ A fast Monte Carlo algorithm for collision probability estimation ” . In Proceedings of the 10th International Conference Control, Automation, Robotics and Vision ICARCV 2008 (pp. 406–411). 17–20 December 2008, Hanoi
  • LaValle , S. M. and LaValle , S. M. 2006 . Planning algorithms (pp. 185–246). , Cambridge University Press . ). Sampling-based motion planning. In (Ed.),
  • Li , P. , Wendt , M. and Wozny , G. 2002 . A probabilistically constrained model predictive next term controller . Automatica, , 38 ( 7 ) : 1171 – 1176 . doi: 10.1016/S0005-1098(02)00002-X
  • Lu , R. , Smith , E. P. and Good , I. J. 1989 . Multivariate measures of similarity and niche overlap . Theoretical Population Biology, , 35 ( 1 ) : 1 – 21 . doi: 10.1016/0040-5809(89)90007-5
  • Luders , B. , Kothari , M. and How , J. P . “ Chance constrained RRT for probabilistic robustness to environmental uncertainty ” . In Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit. 2–5 August 2010, Toronto.
  • Melchior , N. A. and Simmons , R . “ Particle RRT for path planning with uncertainty ” . In Proceedings of the IEEE International Conference on Robotics and Automation. 10–14 April 2007, Roma.
  • Ono , M. and Williams , B. C . “ An efficient motion planning algorithm for stochastic dynamic system with constraints on probability of failure ” . In Proceeding of the 23th AAAI Conference on Artificial Intelligence. Illinois.
  • Pepy , R. and Lambert , A . “ Safe path planning in an uncertain-configuration space using RRT ” . In Proceedings of IEEE/RSJ Int Intelligent Robots and Systems Conference, (pp. 5376–5381). 9–15 October 2006, Beijing
  • Petersen , K. B. and Pedersen , M. S. Matrix cookbook Retrieved from www.matrixcookbook.com
  • Hessem , D. H. 2004 . Stochastic inequality constrained closed-loop model predictive control: with application to chemical process operation (doctoral dissertation). , Delft University Press, Delft .
  • Vitus , M. P. and Tomlin , C. J . “ Closed-loop belief space planning for linear, gaussian systems ” . In Proceedings of the IEEE International Robotics and Automation (ICRA) Conference (pp. 2152–2159). 9–13 May 2011, Shanghai
  • Yan , Y. and Bitmead , R. R. 2005 . Incorporating state estimation into model predictive control and its application to network traffic control . Automatica, , 41 : 595 – 604 . doi: 10.1016/j.automatica.2004.11.022