| A scalable pipeline for designing reconfigurable organisms S Kriegman, D Blackiston, M Levin, J Bongard Proceedings of the National Academy of Sciences 117 (4), 1853-1859, 2020 | 352 | 2020 |
| A soft robot that adapts to environments through shape change DS Shah, JP Powers, LG Tilton, S Kriegman, J Bongard, ... Nature Machine Intelligence 3, 51-59, 2020 | 110 | 2020 |
| How morphological development can guide evolution S Kriegman, N Cheney, J Bongard Scientific Reports 8 (1), 13934, 2018 | 109 | 2018 |
| A cellular platform for the development of synthetic living machines D Blackiston, E Lederer, S Kriegman, S Garnier, J Bongard, M Levin Science Robotics 6 (52), eabf1571, 2021 | 106 | 2021 |
| Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization D Shah, B Yang, S Kriegman, M Levin, J Bongard, R Kramer‐Bottiglio Advanced Materials, 2002882, 2020 | 98 | 2020 |
| Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022 | 85 | 2022 |
| Kinematic self-replication in reconfigurable organisms S Kriegman, D Blackiston, M Levin, J Bongard Proceedings of the National Academy of Sciences 118 (49), e2112672118, 2021 | 84 | 2021 |
| Scalable sim-to-real transfer of soft robot designs S Kriegman, AM Nasab, D Shah, H Steele, G Branin, M Levin, J Bongard, ... The 3rd IEEE International Conference on Soft Robotics (RoboSoft), 2020 | 71 | 2020 |
| Automated shapeshifting for function recovery in damaged robots S Kriegman, S Walker, D Shah, M Levin, R Kramer-Bottiglio, J Bongard Proceedings of Robotics: Science and Systems 15, 2019 | 59 | 2019 |
| A minimal developmental model can increase evolvability in soft robots S Kriegman, N Cheney, F Corucci, JC Bongard Proceedings of the Genetic and Evolutionary Computation Conference, 131-138, 2017 | 37 | 2017 |
| Evolutionary developmental soft robotics as a framework to study intelligence and adaptive behavior in animals and plants F Corucci, N Cheney, S Kriegman, J Bongard, C Laschi Frontiers 4 (34), 1, 2017 | 26 | 2017 |
| Interoceptive robustness through environment-mediated morphological development S Kriegman, N Cheney, F Corucci, JC Bongard Proceedings of the Genetic and Evolutionary Computation Conference, 109-116, 2018 | 21 | 2018 |
| Resilient machines through adaptive morphology H Hauser Nature Machine Intelligence 1 (8), 338-339, 2019 | 20 | 2019 |
| Simulating the evolution of soft and rigid-body robots S Kriegman, C Cappelle, F Corucci, A Bernatskiy, N Cheney, JC Bongard Proceedings of the genetic and evolutionary computation conference companion …, 2017 | 20 | 2017 |
| Living robots P Ball Nature materials 19 (3), 265-265, 2020 | 17 | 2020 |
| Scale invariant robot behavior with fractals S Kriegman, AM Nasab, D Blackiston, H Steele, M Levin, ... Proceedings of Robotics: Science and Systems 17, 2021 | 10 | 2021 |
| Why virtual creatures matter S Kriegman Nature Machine Intelligence 1 (10), 492-492, 2019 | 10 | 2019 |
| Biological robots: Perspectives on an emerging interdisciplinary field D Blackiston, S Kriegman, J Bongard, M Levin Soft Robotics, 2023 | 8 | 2023 |
| Voxcraft‐sim, a gpu‐accelerated voxel‐based physics engine S Liu, D Matthews, S Kriegman, J Bongard https://doi.org/10.5281/zenodo.3835152, 2020 | 8 | 2020 |
| Word2vec to behavior: morphology facilitates the grounding of language in machines D Matthews, S Kriegman, C Cappelle, J Bongard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 8 | 2019 |
Josh BongardProfessor of Computer Science, University of VermontVerified email at uvm.edu
