Josh Bongard

Josh Bongard

University of Vermont

H-index: 53

North America-United States

About Josh Bongard

Josh Bongard, With an exceptional h-index of 53 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Vermont, specializes in the field of Artificial Intelligence, Robotics, Evolutionary Computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evolving higher-order synergies reveals a trade-off between stability and information integration capacity in complex systems

Gradient-based Design of Computational Granular Crystals

A soft robot that adapts to environments through shape change (vol 3, pg 51, 2021)

Evolving variable stiffness fiber patterns for multi-shape robotic sheets

Efficient automatic design of robots

Morphology choice affects the evolution of affordance detection in robots

There’s plenty of room right here: Biological systems as evolved, overloaded, multi-scale machines

Universal Mechanical Polycomputation in Granular Matter

Josh Bongard Information

University

Position

Professor of Computer Science

Citations(all)

12187

Citations(since 2020)

5732

Cited By

8516

hIndex(all)

53

hIndex(since 2020)

33

i10Index(all)

116

i10Index(since 2020)

70

Email

University Profile Page

University of Vermont

Google Scholar

View Google Scholar Profile

Josh Bongard Skills & Research Interests

Artificial Intelligence

Robotics

Evolutionary Computation

Top articles of Josh Bongard

Title

Journal

Author(s)

Publication Date

Evolving higher-order synergies reveals a trade-off between stability and information integration capacity in complex systems

arXiv preprint arXiv:2401.14347

Thomas F Varley

Joshua Bongard

2024/1/25

Gradient-based Design of Computational Granular Crystals

arXiv preprint arXiv:2404.04825

Atoosa Parsa

Corey S O'Hern

Rebecca Kramer-Bottiglio

Josh Bongard

2024/4/7

A soft robot that adapts to environments through shape change (vol 3, pg 51, 2021)

Nature Machine Intelligence

Dylan S Shah

Joshua P Powers

Liana G Tilton

Sam Kriegman

Josh Bongard

...

2021/1

Evolving variable stiffness fiber patterns for multi-shape robotic sheets

Atoosa Parsa

Medha Goyal

Maggy Lambo

Bilige Yang

Josh Bongard

...

2023/4/3

Efficient automatic design of robots

Proceedings of the National Academy of Sciences

David Matthews

Andrew Spielberg

Daniela Rus

Sam Kriegman

Josh Bongard

2023/10/10

Morphology choice affects the evolution of affordance detection in robots

Federico Pigozzi

Stephanie Woodman

Eric Medvet

Rebecca Kramer-Bottiglio

Josh Bongard

2023/7/15

There’s plenty of room right here: Biological systems as evolved, overloaded, multi-scale machines

Biomimetics

Joshua Bongard

Michael Levin

2023/3/8

Universal Mechanical Polycomputation in Granular Matter

Atoosa Parsa

Sven Witthaus

Nidhi Pashine

Corey O'Hern

Rebecca Kramer-Bottiglio

...

2023/7/15

The Metric is the Message: Benchmarking Challenges for Neural Symbolic Regression

Amanda Bertschinger

Q Tyrell Davis

James Bagrow

Joshua Bongard

2023/9/18

Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata

Caitlin Grasso

Josh Bongard

2023/7/15

Biological robots: Perspectives on an emerging interdisciplinary field

Soft Robotics

Douglas Blackiston

Sam Kriegman

Josh Bongard

Michael Levin

2023/8/1

From rigid to soft to biological robots: how new materials are driving advances in the study of the embodied cognition

Josh Bongard

2023/5

Engineered multicellular organisms

2023/7/27

Subtract to adapt: Autotomic robots

Q Tyrell Davis

Stephanie Woodman

Melanie Landesberg

Rebecca Kramer-Bottiglio

Josh Bongard

2023/4/3

Searching in the Dark: Evolving Biobot Swarm Compositions to Efficiently Explore Obstructed Environments

Piper Welch

Caitlin Grasso

Gizem Gumuskaya

Mike Levin

Josh Bongard

2023/7/24

Empowered neural cellular automata

Caitlin Grasso

Josh Bongard

2022/7/9

Introduction to the 2020 Conference on Artificial Life Special Issue

Artificial Life

Joshua Bongard

Juniper Lovato

Laurent Hébert-Dufresne

Radhakrishna Dasari

Lisa Soros

2022/3/16

Selecting continuous life-like cellular automata for halting unpredictability: evolving for abiogenesis

Q Tyrell Davis

Josh Bongard

2022/7/9

Biological underpinnings for lifelong learning machines

Dhireesha Kudithipudi

Mario Aguilar-Simon

Jonathan Babb

Maxim Bazhenov

Douglas Blackiston

...

2022/3

Evolving programmable computational metamaterials

Atoosa Parsa

Dong Wang

Corey S O'Hern

Mark D Shattuck

Rebecca Kramer-Bottiglio

...

2022/7/8

See List of Professors in Josh Bongard University(University of Vermont)

Co-Authors

H-index: 87
Hod Lipson

Hod Lipson

Columbia University in the City of New York

H-index: 82
Xindong Wu

Xindong Wu

Hefei University of Technology

H-index: 62
Rolf Pfeifer

Rolf Pfeifer

Universität Zürich

H-index: 46
Fumiya Iida

Fumiya Iida

University of Cambridge

H-index: 36
Paul D.H. Hines

Paul D.H. Hines

University of Vermont

H-index: 15
Sam Kriegman

Sam Kriegman

University of Vermont

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