ABSTRACT
We use an evolutionary robotics approach to demonstrate how the choice of robot morphology can affect one specific aspect of neural networks: their ability to resist catastrophic forgetting.
- Josh Bongard. 2011. Morphological change in machines accelerates the evolution of robust behavior. Proceedings of the National Academy of Sciences 108, 4 (2011), 1234--1239.Google ScholarCross Ref
- Robert M French. 1999. Catastrophic forgetting in connectionist networks. Trends in cognitive sciences 3, 4 (1999), 128--135.Google Scholar
- Helmut Hauser, Auke J Ijspeert, Rudolf M Füchslin, Rolf Pfeifer, and Wolfgang Maass. 2011. Towards a theoretical foundation for morphological computation with compliant bodies. Biological cybernetics 105, 5--6 (2011), 355--370. Google ScholarDigital Library
- Sam Kriegman, Nick Cheney, and Josh Bongard. 2017. How morphological development can guide evolution. arXiv preprint arXiv.1711.07387 (2017).Google Scholar
- Embodiment can combat catastrophic forgetting
Recommendations
Autonomy, Embodiment, and Obedience to Robots
HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended AbstractsWe conducted an HRI obedience experiment comparing an autonomous robotic authority to: (i) a remote-controlled robot, and (ii) robots of variant embodiments during a deterrent task. The results suggest that half of people will continue to perform a ...
Behavioral specialization emerges from the embodiment of a robotic swarm
AbstractThis paper focuses on the effect of the embodiment of robots on collective behavior in robotic swarms. The research field of swarm robotics emphasizes the importance of the embodiment of robots; however, only a few studies have discussed how it ...
Comments