World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
89
Citations
41826
World Ranking
280
National Ranking
97

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Hod Lipson is affiliated with Columbia University in the United States. Their research spans the fields of Engineering and Computer Science, with a strong focus on Mechanical Engineering and Biomedical Engineering as key subfields. Their work also covers Computer Vision and Pattern Recognition, Artificial Intelligence, and Control and Systems Engineering.

The scientist's research topics include:

  • Modular Robots and Swarm Intelligence
  • Additive Manufacturing and 3D Printing Technologies
  • Robot Manipulation and Learning
  • Advanced Materials and Mechanics
  • Soft Robotics and Applications
  • Robotic Locomotion and Control
  • Anomaly Detection Techniques and Applications

Hod Lipson has been published frequently in venues such as arXiv (Cornell University), Research Square, Science Robotics, Scientific Reports, and HardwareX. Some notable recent publications include:

  • Automated discovery of fundamental variables hidden in experimental data, 2022, Nature Computational Science
  • Facially expressive humanoid robotic face, 2020, HardwareX
  • Fully body visual self-modeling of robot morphologies, 2022, Science Robotics
  • Precision cooking for printed foods via multiwavelength lasers, 2021, npj Science of Food
  • The future of software-controlled cooking, 2023, npj Science of Food

Collaboratively, the scientist works often with Judah Goldfeder, Yuhang Hu, Boyuan Chen, Zechen Xiong, and Gabe Guo, reflecting consistent partnerships across several projects.

Best Publications

  • How transferable are features in deep neural networks

    Jason Yosinski;Jeff Clune;Yoshua Bengio;Hod Lipson

  • Distilling Free-Form Natural Laws from Experimental Data

    Michael Schmidt;Hod Lipson

  • Understanding Neural Networks Through Deep Visualization

    Jason Yosinski;Jeff Clune;Anh Mai Nguyen;Thomas J. Fuchs

  • Fabricated: The New World of 3D Printing

    Hod Lipson;Melba Kurman

  • Universal robotic gripper based on the jamming of granular material

    Eric Brown;Nicholas Rodenberg;John Amend;Annan Mozeika

  • Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

    M. Yim;Wei-Min Shen;B. Salemi;D. Rus

  • Automatic design and manufacture of robotic lifeforms

    Hod Lipson;Jordan B. Pollack

  • Resilient machines through continuous self-modeling.

    Josh Bongard;Victor Zykov;Hod Lipson

  • Automated reverse engineering of nonlinear dynamical systems

    Josh C. Bongard;Hod Lipson

  • Soft material for soft actuators

    Aslan Miriyev;Kenneth Stack;Hod Lipson

  • A Positive Pressure Universal Gripper Based on the Jamming of Granular Material

    J. R. Amend;E. M. Brown;N. Rodenberg;H. M. Jaeger

  • The evolutionary origins of modularity

    Jeff Clune;Jeff Clune;Jean-Baptiste Mouret;Hod Lipson

  • Optimization-based reconstruction of a 3D object from a single freehand line drawing

    H Lipson;M Shpitalni

  • Rapid 3D printing of anatomically accurate and mechanically heterogeneous aortic valve hydrogel scaffolds

    L A Hockaday;K H Kang;N W Colangelo;P Y C Cheung

  • Design and control of tensegrity robots for locomotion

    C. Paul;F.J. Valero-Cuevas;H. Lipson

  • Additive manufacturing for the food industry

    Jeffrey I. Lipton;Meredith Cutler;Franz Nigl;Dan Cohen

  • Fab@Home: the personal desktop fabricator kit

    Evan Malone;Hod Lipson

  • Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning

    Chad DeChant;Tyr Wiesner-Hanks;Siyuan Chen;Ethan L Stewart

  • Direct Freeform Fabrication of Seeded Hydrogels in Arbitrary Geometries

    Daniel L. Cohen;Evan Malone;Hod Lipson;Lawrence J. Bonassar

  • Ambient wind energy harvesting using cross-flow fluttering

    Shuguang Li;Jianping Yuan;Hod Lipson

  • Modular Self-Reconfigurable Robot Systems

    Mark Yim;Wei-Min Shen;Behnam Salemi;Daniela Rus

Frequent Co-Authors

Jeff Clune
Jeff Clune University of British Columbia
Josh Bongard
Josh Bongard University of Vermont
Jordan Pollack
Jordan Pollack Brandeis University
Francisco J. Valero-Cuevas
Francisco J. Valero-Cuevas University of Southern California
Michael T. Tolley
Michael T. Tolley University of California, San Diego
Lawrence J. Bonassar
Lawrence J. Bonassar Cornell University
Michal Lipson
Michal Lipson Columbia University
Rebecca J. Nelson
Rebecca J. Nelson Cornell University
Heinrich M. Jaeger
Heinrich M. Jaeger University of Chicago
Jean-Baptiste Mouret
Jean-Baptiste Mouret University of Lorraine

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