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Cited by 264

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Motion Planning: A Journey of Robots, Molecules, Digital Actors, and Other Artifacts

Latombe, Jean-Claude·1999·The International Journal of Robotics Research

Abstract

During the past three decades, motion planning has emerged as a crucial and productive research area in robotics. In the mid-1980s, the most advanced planners were barely able to compute collision-free paths for objects crawling in planar workspaces. Today, planners efficiently deal with robots with many degrees of freedom in complex environments. Techniques also exist to generate quasioptimal trajectories, coordinate multiple robots, deal with dynamic and kinematic constraints, and handle dynamic environments. This paper describes some of these achievements, presents new problems that have recently emerged, discusses applications likely to motivate future research, and finally gives expectations for the coming years. It stresses the fact that nonrobotics applications (e.g., graphic animation, surgical planning, computational biology) are growing in importance and are likely to shape future motion-planning research more than robotics itself.

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Crossref · 10.1177/02783649922067753

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Metadata

Authors
Latombe, J.-C.
Venue
The International Journal of Robotics Research
Published
1999-11
Volume
18
Issue
11
Pages
1119-1128
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W2037907469
Cited by
264
References
3
FWCI
10.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Motion Planning: A Journey of Robots, Molecules, Digital Actors, and Other Artifacts. https://app.cochat.ai/papers/10.1177/02783649922067753
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Latombe, J.-C. (1999). Motion Planning: A Journey of Robots, Molecules, Digital Actors, and Other Artifacts. The International Journal of Robotics Research. https://doi.org/10.1177/02783649922067753

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.