The DOI matches its Crossref record.
A task description language for robot control
Abstract
Robot systems must achieve high level goals while remaining reactive to contingencies and new opportunities. This typically requires robot systems to coordinate concurrent activities, monitor the environment, and deal with exceptions. We have developed a new language to support such task-level control. The language, TDL, is an extension of C++ that provides syntactic support for task decomposition, synchronization, execution monitoring, and exception handling. A compiler transforms TDL into pure C++ code that utilizes a platform-independent task management library. This paper introduces TDL, describes the task tree representation that underlies the language, and presents some aspects of its implementation and use in an autonomous mobile robot.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Stanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
Deliberation for autonomous robots: A survey
Ingrand, F., & Ghallab, M. (2017) · Artificial Intelligence · doi:10.1016/j.artint.2014.11.003 · Cited by 309
The CLARAty architecture for robotic autonomy
Volpe, R., Nesnas, I., Estlin, T., Mutz, D., Petras, R., & Das, H. (2002) · 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542) · doi:10.1109/aero.2001.931701 · Cited by 265
SkillMaN — A skill-based robotic manipulation framework based on perception and reasoning
Diab, M., Pomarlan, M., Beßler, D., Akbari, A., Rosell, J., Bateman, J., & Beetz, M. (2020) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2020.103653 · Cited by 23
Metadata
- Authors
- Simmons, R., & Apfelbaum, D.
- Venue
- Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)
- Publisher
- IEEE
- Published
- 2002-11-27
- Volume
- 3
- Pages
- 1931-1937
- OpenAlex
- W2171724570
- Cited by
- 318
- References
- 0
- FWCI
- 32.19
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A task description language for robot control. https://app.cochat.ai/papers/10.1109/iros.1998.724883
- The paper
- Simmons, R., & Apfelbaum, D. (2002). A task description language for robot control. Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190). https://doi.org/10.1109/iros.1998.724883
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.