0031 6 1134 8920 jacqueline@heinerman.nl

2017

  1. Heinerman, J., Stork, J., Coy, M. A. R., Hubert, J., Bartz-Beielstein, T., Eiben, A. E., & Haasdijk, E. (2017, September). Can social learning increase learning speed, performance or both?. In Proceedings of the European Conference on Artificial Life 14 (Vol. 14, pp. 200-207).

2016

  1. Heinerman, J., Zonta, A., Haasdijk, E. and Eiben, A. E. On-line Evolution of Foraging Behaviour in a Population of Real Robots. In: Applications of Evolutionary Computation. Springer International Publishing, 2016. p. 198-212. PDF Poster
  2. Hubert, J., Heinerman, J. and Haasdijk, E. Social Learning in DREAM. In: The First International Workshop of Social Learning and Cultural Evolution at ALIFE XV PDF
  3. Heinerman, J., Hubert, J., Haasdijk, E. and Eiben, A.E. Tutorial: Evolutionary robotics – a practical guide to experiment with real hardware. Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN 2016) SLIDES

2015

  1. Heinerman, J., Rango, M., Eiben A.E. Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots. In Evolvable Systems (ICES), 2015 IEEE International Conference on. IEEE. PDF (Received Best Student Paper Award, second place)
  2. Heinerman, J. Collective Sharing of Knowledge in a DREAM. Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015. PDF
  3. Heinerman J., Drupsteen D., Eiben A.E. Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning. Proceedings of the 17th annual conference on Genetic and evolutionary computation, 2015. doi: 10.1145/2739480.2754743. PDF Video

2014

  1. Weel, B., Crosato, E., Heinerman, J., Haasdijk, E., & Eiben, A. E. A robotic ecosystem with evolvable minds and bodies. In Evolvable Systems (ICES), 2014 IEEE International Conference on (pp. 165-172). IEEE. PDF

Whois

My name Jacqueline Heinerman, PhD student in the field of Evolutionary Robotics at the VU University in Amsterdam. Evolutionary Robotics aims to evolve the controllers, the morphologies, or both, for real and/or simulated autonomous robots with use of Evolutionary Algorithms. 

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