World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4967
World Ranking
11331
National Ranking
4673

Overview

Robert P. Goldman is affiliated with Honeywell in the United States. Their research spans multiple disciplines, with primary contributions in computer science as well as biochemistry, genetics, and molecular biology. Their published work addresses a range of scientific and technological questions related to synthetic biology and data-driven experimental systems.

Some of the recent papers authored or co-authored by Robert P. Goldman include:

  • Highly-automated, high-throughput replication of yeast-based logic circuit design assessments, 2022, Synthetic Biology
  • Building an Open Representation for Biological Protocols, 2023, ACM Journal on Emerging Technologies in Computing Systems
  • Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop, 2023, Synthetic Biology
  • Round Trip: An Automated Pipeline for Experimental Design, Execution, and Analysis, 2022, ACS Synthetic Biology
  • Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop, 2022, bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently collaborates with several coauthors, including Bryan Bartley, Jacob Beal, Daniel Bryce, Mark Weston, and Vanessa Biggers. These partnerships have contributed to a diverse set of publications.

Robert P. Goldman's work appears regularly in several scientific venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Synthetic Biology
  • Proceedings of the International Conference on Automated Planning and Scheduling

Their research spans distinct fields and subfields, such as:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Molecular Biology
  • Artificial Intelligence
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Information Systems

Core topics within their scientific exploration include:

  • Scientific Computing and Data Management
  • Gene Regulatory Network Analysis
  • Evolutionary Algorithms and Applications
  • CRISPR and Genetic Engineering
  • Biomedical Text Mining and Ontologies
  • Semantic Web and Ontologies
  • Research Data Management Practices

Best Publications

  • A Bayesian model of plan recognition

    Eugene Charniak;Robert P. Goldman

  • From knowledge bases to decision models

    Michael P. Wellman;John S. Breese;Robert P. Goldman

  • A probabilistic plan recognition algorithm based on plan tree grammars

    Christopher W. Geib;Robert P. Goldman

  • Plan recognition in intrusion detection systems

    C.W. Geib;R.P. Goldman

  • Plan, Activity, and Intent Recognition: Theory and Practice

    Gita Sukthankar;Christopher Geib;Hung Hai Bui;David Pynadath

  • Probabilistic Abduction for Plan Recognition

    Eugene Charniak;Robert Goldman

  • Imputation of missing data using machine learning techniques

    Kamakshi Lakshminarayan;Steven A. Harp;Robert Goldman;Tariq Samad

  • A new model of plan recognition

    Robert P. Goldman;Christopher W. Geib;Christopher A. Miller

  • Expressive planning and explicit knowledge

    Robert P. Goldman;Mark S. Boddy

  • A semantics for probabilistic quantifier-free first-order languages, with particular application to story understanding

    Eugene Charniak;Robert Goldman

  • A probabilistic model of plan recognition

    Eugene Charniak;Robert Goldman

  • A Logic for Semantic Interpretation

    Eugene Charniak;Robert Goldman

  • Coordinated deployment of multiple, heterogeneous robots

    R. Simmons;D. Apfelbaum;D. Fox;R.P. Goldman

  • Information modeling for intrusion report aggregation

    R.P. Goldman;W. Heimerdinger;S.A. Harp;C.W. Geib

  • SMT-based nonlinear PDDL+ planning

    Daniel Bryce;Sicun Gao;David Musliner;Robert Goldman

  • Constraints and AI planning

    A. Nareyek;E.C. Freuder;R. Fourer;E. Giunchiglia

  • A language for construction of belief networks

    R.P. Goldman;E. Charniak

  • The Playbook™ Approach to Adaptive Automation

    Christopher Miller;Harry Funk;Peggy Wu;Robert Goldman

  • Dynamic construction of belief networks

    Robert P. Goldman;Eugene Charniak

  • Conditional linear planning

    Robert P. Goldman;Mark S. Boddy

  • Plan Recognition in Stories and in Life

    Eugene Charniak;Robert P. Goldman

Frequent Co-Authors

Eugene Charniak
Eugene Charniak Brown University
Edmund H. Durfee
Edmund H. Durfee University of Michigan–Ann Arbor
Dana S. Nau
Dana S. Nau University of Maryland, College Park
David W. Aha
David W. Aha United States Naval Research Laboratory
Henry Kautz
Henry Kautz University of Virginia
Stefan Edelkamp
Stefan Edelkamp Charles University
Austin Tate
Austin Tate University of Edinburgh
Dieter Fox
Dieter Fox University of Washington
Reid Simmons
Reid Simmons Carnegie Mellon University

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