5 citations · 5 across the 4 of their papers we have counts for
4 papers
No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots
Alican Mertan, Nick Cheney
It is prevalent in contemporary AI and robotics to separately postulate a brain modeled by neural networks and employ it to learn intelligent and adaptive behavior. While this meth…
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
Alican Mertan, Nick Cheney
Finding controllers that perform well across multiple morphologies is an important milestone for large-scale robotics, in line with recent advances via foundation models in other a…
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots
Alican Mertan, Nick Cheney
Evolving virtual creatures is a field with a rich history and recently it has been getting more attention, especially in the soft robotics domain. The compliance of soft materials…
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
V. Bugra Yesilkaynak, Emine Dari, Alican Mertan +1
Existing multi-label frameworks only exploit the information deduced from the bipartition of the labels into a positive and negative set. Therefore, they do not benefit from the ra…