论文信息 - Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors - 字舞流文

Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors

This paper investigates the evolution of modular robots using different selection preferences (i.e., fitness functions), aiming at novelty, speed of locomotion, number of limbs, and combinations of...

A. E. Eiben | Kyrre Glette | Evert Haasdijk | Karine Miras

[1] Gregory S. Hornby,et al. Body-brain co-evolution using L-systems as a generative encoding , 2001 .

[2] Karl Sims,et al. Evolving 3d morphology and behavior by competition , 1994 .

[3] Fumitoshi Matsuno,et al. Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review , 2017, Front. Neurorobot..

[4] Kenneth O. Stanley,et al. Exploiting Open-Endedness to Solve Problems Through the Search for Novelty , 2008, ALIFE.

[5] Dario Floreano,et al. RoboGen: Robot Generation through Artificial Evolution , 2014, ALIFE.

[6] Joshua Evan Auerbach,et al. Environmental Influence on the Evolution of Morphological Complexity in Machines , 2014, PLoS Comput. Biol..

[7] R. McNeill Alexander,et al. Principles of Animal Locomotion , 2002 .

[8] Christian Jacob,et al. Genetic L-System Programming , 1994, PPSN.

[9] K. Wampler,et al. Optimal gait and form for animal locomotion , 2009, SIGGRAPH 2009.

[10] Kyrre Glette,et al. Some distance measures for morphological diversification in generative evolutionary robotics , 2014, GECCO.

[11] A. E. Eiben,et al. Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes , 2013, TPNC.

[12] A. E. Eiben,et al. Search Space Analysis of Evolvable Robot Morphologies , 2018, EvoApplications.

[13] Hod Lipson,et al. On the Difficulty of Co-Optimizing Morphology and Control in Evolved Virtual Creatures , 2016, ALIFE.