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Cited by 293

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

WHOLE-BODY DYNAMIC BEHAVIOR AND CONTROL OF HUMAN-LIKE ROBOTS

KHATIB, O., SENTIS, L., PARK, J., WARREN, J.·2004·International Journal of Humanoid Robotics

Abstract

With the increasing complexity of humanoid mechanisms and their desired capabilities, there is a pressing need for a generalized framework where a desired whole-body motion behavior can be easily specified and controlled. Our hypothesis is that human motion results from simultaneously performing multiple objectives in a hierarchical manner, and we have analogously developed a prioritized, multiple-task control framework. The operational space formulation 10 provides dynamic models at the task level and structures for decoupled task and posture control.13 This formulation allows for posture objectives to be controlled without dynamically interfering with the operational task. Achieving higher performance of posture objectives requires precise models of their dynamic behaviors. In this paper we complete the picture of task descriptions and whole-body dynamic control by establishing models of the dynamic behavior of secondary task objectives within the posture space. Using these models, we present a whole-body control framework that decouples the interaction between the task and postural objectives and compensates for the dynamics in their respective spaces.

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Metadata

Authors
KHATIB, O., SENTIS, L., PARK, J., & WARREN, J.
Venue
International Journal of Humanoid Robotics
Published
2004-03
Volume
01
Issue
01
Pages
29-43
ISSN
  • 0219-8436 (ISSN-L)
  • 1793-6942
OpenAlex
W2169564405
Cited by
293
References
10
FWCI
10.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: WHOLE-BODY DYNAMIC BEHAVIOR AND CONTROL OF HUMAN-LIKE ROBOTS. https://app.cochat.ai/papers/10.1142/s0219843604000058
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KHATIB, O., SENTIS, L., PARK, J., & WARREN, J. (2004). WHOLE-BODY DYNAMIC BEHAVIOR AND CONTROL OF HUMAN-LIKE ROBOTS. International Journal of Humanoid Robotics. https://doi.org/10.1142/s0219843604000058

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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.