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D-Index & Metrics

Computer Science

D-Index
48
Citations
12153
World Ranking
6083
National Ranking
2738

Overview

Josh Bongard is affiliated with the University of Vermont in the United States. Their research spans multiple disciplines, primarily within engineering and computer science, with a particular focus on mechanical and biomedical engineering as well as artificial intelligence.

The scientist's work covers diverse subfields including:

  • Mechanical Engineering
  • Biomedical Engineering
  • Artificial Intelligence
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Central topics explored in their research include modular robots and swarm intelligence, micro and nano robotics, advanced memory and neural computing, cellular automata and applications, neural dynamics and brain function, robotic locomotion and control, and advanced materials and mechanics.

  • Modular Robots and Swarm Intelligence
  • Micro and Nano Robotics
  • Advanced Memory and Neural Computing
  • Cellular Automata and Applications
  • Neural dynamics and brain function
  • Robotic Locomotion and Control
  • Advanced Materials and Mechanics

Bongard has published extensively, contributing to both conference proceedings and peer-reviewed journals. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the National Academy of Sciences
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Nature Machine Intelligence

Recent published papers demonstrate the application of computational and biological principles in robotics and autonomous systems. Selected publications include:

  • "A scalable pipeline for designing reconfigurable organisms," 2020, Proceedings of the National Academy of Sciences
  • "Biological underpinnings for lifelong learning machines," 2022, Nature Machine Intelligence
  • "Towards enduring autonomous robots via embodied energy," 2022, Nature
  • "Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization," 2020, Advanced Materials
  • "Kinematic self-replication in reconfigurable organisms," 2021, Proceedings of the National Academy of Sciences

Bongard's collaborations span a range of researchers with frequent coauthors including Rebecca Kramer-Bottiglio, Michael Levin, Sam Kriegman, Atoosa Parsa, and Corey S. O'Hern, indicating a network of partnerships focused on interdisciplinary research at the intersection of robotics, biology, and engineering.

Best Publications

  • How the Body Shapes the Way We Think: A New View of Intelligence

    Rolf Pfeifer;Josh Bongard

  • Resilient machines through continuous self-modeling.

    Josh Bongard;Victor Zykov;Hod Lipson

  • Automated reverse engineering of nonlinear dynamical systems

    Josh C. Bongard;Hod Lipson

  • A scalable pipeline for designing reconfigurable organisms

    Sam Kriegman;Douglas Blackiston;Michael Levin;Michael Levin;Josh C. Bongard

  • Evolutionary robotics

    Josh C. Bongard

  • Evolving modular genetic regulatory networks

    J. Bongard

  • How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)

    Rolf Pfeifer;Josh C. Bongard

  • Evolving Complete Agents using Artificial Ontogeny

    Josh C. Bongard;Rolf Pfeifer

  • Three Dimensional Stochastic Reconfiguration of Modular Robots

    Paul White;Viktor Zykov;Josh C. Bongard;Hod Lipson

  • Morphological change in machines accelerates the evolution of robust behavior

    Josh C. Bongard

  • Repeated structure and dissociation of genotypic and phenotypic complexity in artificial ontogeny

    Josh C. Bongard;Rolf Pfeifer

  • New Robotics: Design Principles for Intelligent Systems

    Rolf Pfeifer;Fumiya Iida;Josh Bongard

  • A soft robot that adapts to environments through shape change

    Dylan S. Shah;Joshua P. Powers;Liana G. Tilton;Sam Kriegman

  • Nonlinear system identification using coevolution of models and tests

    J.C. Bongard;H. Lipson

  • Environmental Influence on the Evolution of Morphological Complexity in Machines

    Joshua Evan Auerbach;Josh C. Bongard

  • Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization.

    Dylan Shah;Bilige Yang;Sam Kriegman;Michael Levin;Michael Levin

  • Use of an artificial neural network to predict head injury outcome: Clinical article

    Anand I. Rughani;Travi S.M. Dumont;Zhenyu Lu;Josh Bongard

  • The road less travelled: morphology in the optimization of biped robot locomotion

    C. Paul;J.C. Bongard

  • Ensemble pruning via individual contribution ordering

    Zhenyu Lu;Xindong Wu;Xingquan Zhu;Josh Bongard

  • Kinematic self-replication in reconfigurable organisms.

    Sam Kriegman;Sam Kriegman;Douglas Blackiston;Douglas Blackiston;Michael Levin;Michael Levin;Josh Bongard

  • How morphological development can guide evolution.

    Sam Kriegman;Nick Cheney;Josh C. Bongard

  • Scalable co-optimization of morphology and control in embodied machines

    Nick Cheney;Nick Cheney;Nick Cheney;Josh C. Bongard;Vytas SunSpiral;Hod Lipson

Frequent Co-Authors

Hod Lipson
Hod Lipson Columbia University
Michael Levin
Michael Levin Tufts University
Rolf Pfeifer
Rolf Pfeifer University of Zurich
Paul D. H. Hines
Paul D. H. Hines University of Vermont
Cecilia Laschi
Cecilia Laschi National University of Singapore
Fumiya Iida
Fumiya Iida University of Cambridge
Xindong Wu
Xindong Wu Hefei University of Technology
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Andrew N. Meltzoff
Andrew N. Meltzoff University of Washington
Javaan Chahl
Javaan Chahl University of South Australia

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