Anton Bernatskiy
Anton Bernatskiy
Postdoctoral researcher at Michigan State University
Verified email at uvm.edu
Title
Cited by
Cited by
Year
Evolving robot morphology facilitates the evolution of neural modularity and evolvability
JC Bongard, A Bernatskiy, K Livingston, N Livingston, J Long, M Smith
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
202015
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
132017
The role of bottom friction in models of nonbreaking tsunami wave runup on the shore
AV Bernatskiy, MA Nosov
Izvestiya, Atmospheric and Oceanic Physics 48 (4), 427-431, 2012
112012
Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features
CK Cappelle, A Bernatskiy, K Livingston, N Livingston, J Bongard
Frontiers in Robotics and AI 3, 59, 2016
82016
Exploiting the relationship between structural modularity and sparsity for faster network evolution
A Bernatskiy, JC Bongard
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
82015
Improving Robot Behavior Optimization by Combining User Preferences
A Bernatskiy, GS Hornby, JC Bongard
ALIFE 14: The Fourteenth Conference on the Synthesis and Simulation of …, 2014
72014
Recombination Hotspots Promote the Evolvability of Modular Systems
A Larson, A Bernatskiy, C Cappelle, K Livingston, N Livingston, J Long, ...
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
52016
Evolving morphology automatically reformulates the problem of designing modular control
A Bernatskiy, J Bongard
Adaptive Behavior 26 (2), 47-64, 2018
42018
Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots
N Livingston, A Bernatskiy, K Livingston, M Smith, J Schwarz, J Bongard, ...
Frontiers in Robotics and AI 3, 75, 2016
42016
Choice of robot morphology can prohibit modular control and disrupt evolution
A Bernatskiy, J Bongard
14th European Conference on Artificial Life, 60-67, 2017
32017
Reducing Training Environments in Evolutionary Robotics Through Ecological Modularity
C Cappelle, A Bernatskiy, J Bongard
Conference on Biomimetic and Biohybrid Systems, 95-106, 2017
12017
Exact rule-based stochastic simulations for systems with unlimited number of molecular species
AV Bernatskiy, EA Guseva
arXiv preprint arXiv:1609.06403, 2016
12016
Improving Scalability of Evolutionary Robotics with Reformulation
A Bernatskiy
2018
Ecological modularity as a means to reduce necessary training environments in evolutionary robotics
C Cappelle, A Bernatskiy, JC Bongard
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
2017
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Articles 1–14