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Obstacle Avoidance for Kinematically Redundant Manipulators in Dynamically Varying Environments

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Maciejewski, Anthony A., Klein, Charles A.·1985·The International Journal of Robotics Research

Abstract

The vast majority of work to date concerned with obstacle avoidance for manipulators has dealt with task descriptions in the form ofpick-and-place movements. The added flexibil ity in motion control for manipulators possessing redundant degrees offreedom permits the consideration of obstacle avoidance in the context of a specified end-effector trajectory as the task description. Such a task definition is a more accurate model for such tasks as spray painting or arc weld ing. The approach presented here is to determine the re quired joint angle rates for the manipulator under the con straints of multiple goals, the primary goal described by the specified end-effector trajectory and secondary goals describ ing the obstacle avoidance criteria. The decomposition of the solution into a particular and a homogeneous component effectively illustrates the priority of the multiple goals that is exact end-effector control with redundant degrees of freedom maximizing the distance to obstacles. An efficient numerical implementation of the technique permits sufficiently fast cycle times to deal with dynamic environments.

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Metadata

Authors
Maciejewski, A. A., & Klein, C. A.
Venue
The International Journal of Robotics Research
Published
1985-09
Volume
4
Issue
3
Pages
109-117
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W1982442957
Cited by
1,007
References
0
FWCI
21.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Obstacle Avoidance for Kinematically Redundant Manipulators in Dynamically Varying Environments. https://app.cochat.ai/papers/10.1177/027836498500400308
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Maciejewski, A. A., & Klein, C. A. (1985). Obstacle Avoidance for Kinematically Redundant Manipulators in Dynamically Varying Environments. The International Journal of Robotics Research. https://doi.org/10.1177/027836498500400308

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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.