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Robot motion planning with uncertainty in control and sensing
Source Artificial Intelligence archive
Volume 52 ,  Issue 1  (November 1991) table of contents
Pages: 1 - 47  
Year of Publication: 1991
ISSN:0004-3702
Authors
Jean-Claude Latombe
Anthony Lazanas
Shashank Shekhar
Publisher
Elsevier Science Publishers Ltd.  Essex, UK
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 7
Additional Information:

cited by   index terms   review   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: 10.1016/0004-3702(91)90023-D

CITED BY  7
Ronen I. Brafman , Jean-Claude Latombe , Yoram Moses , Yoav Shoham, Applications of a logic of knowledge to motion planning under uncertainty, Journal of the ACM (JACM), v.44 n.5, p.633-668, Sept. 1997
Ronen I. Brafman , Jean-Claude Latombe , Yoram Moses , Yoav Shoham, Knowledge as a tool in motion planning under uncertainty, Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge, p.208-224, March 13-16, 1994, Pacific Grove, California
Haruo Takeda , Claudio Facchinetti , Jean-Claude Latombe, Planning the Motions of a Mobile Robot in a Sensory Uncertainty Field, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.10, p.1002-1017, October 1994
Terry L. Huntsberger , Abhijit Sengupta, Game theory basis for control of long-lived lunar/planetary surface robots, Autonomous Robots, v.20 n.2, p.85-95, March 2006
A. Pruski , A. Atassi, Sensor information space for robust mobile robot path planning, Robotica, v.18 n.4, p.415-421, July 2000
Sungchul Kang , Yonk K. Hwang , Munsang Kim , Chongwon Lee , Kyo-Il Lee, A compliant controller dynamically updating the compliance center by contact localization, Robotica, v.16 n.5, p.543-550, September 1998
Suman Chakravorty , John L. Junkins, Brief paper: Motion planning in uncertain environments with vision-like sensors, Automatica (Journal of IFAC), v.43 n.12, p.2104-2111, December, 2007

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.10 Vision and Scene Understanding
            Subjects: Motion
      I.2.3 Deduction and Theorem Proving
          Subjects: Uncertainty, "fuzzy," and probabilistic reasoning
      I.2.8 Problem Solving, Control Methods, and Search
          Subjects: Plan execution, formation, and generation


General Terms:
Algorithms, Design, Experimentation, Performance, Theory


REVIEW

"Maria L. Gini : Reviewer"

A limited class of motion planning problems is known in robotics as “fine motion planning.” Given a set of initial and goal configurations for a robot, the problem is to generate a motion strategy that, when executed, guarantees th  more...

Collaborative Colleagues:
Jean-Claude Latombe: colleagues
Anthony Lazanas: colleagues
Shashank Shekhar: colleagues

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