I am currently working as a postdoctoral researcher at the School of Computing, Clemson University.

Before joining Clemson University, I worked as a research engineer at the Robotics, Perception and Learning lab, KTH Royal Institute of Technology.

I graduated with a doctoral degree in intelligent robotics from the Robotics Lab, University Carlos III of Madrid, and an MSc. in Artificial Intelligence degree from the School of Informatics, University of Edinburgh.


Low Dimensional Motor Skill Learning Using Coactivation

Evolving Bipedal Gait

Visual Motion Detection and Tracking


Morphology based Locomotion

Embodied Evolution

Digital Hormones for Modular Robots


  • A. Ranganath P. Xu, I. Karamouzas, and V Zordan, “Low Dimensional Motor Skill Learning Using Coactivation”, in Motion, Interaction and Games, 2019, Newcastle, UK, Oct 2019. [PDF]
  • A. Pronobis, A. Ranganath and RP. Rao, “LibSPN: A Library for Learning and Inference with Sum-Product Networks and TensorFlow”, in Workshop on Principled Approaches to Deep Learning, ICML 2017, Sydney, Australia, Aug 2017. [PDF]
  • A. Brunete, A. Ranganath, S. Segovia, J. Perez de Frutos, M. Hernando and E. Gambao, “Current trends in reconfigurable modular robots design”, in International Journal of Advanced Robotic Systems, 14(3), DOI: 10.1177/1729881417710457, 2017. [PDF]
  • A. Ranganath and L. Moren, “Gait generation through a feature based linear periodic function”, in Mediterranean Conference on Control and Automation (MED), Torremolinos, Spain, Jun 2015. [PDF]
  • A. Ranganath, J. Gonzalez-Gomez and L. Moren, “Morphology Dependent Distributed Controller for Locomotion in Modular Robots”, in Post-Graduate Conference on Robotics and Development of Cognition, Lausanne, Switzerland, Sep 2012. [PDF]
  • A. Ranganath, J. Gonzalez-Gomez and L. Moren, “A distributed neural controller for locomotion in linear modular robotic configurations”, in Proceedings of the 8th Workshop of RoboCity2030, Madrid, Spain, May 2011. [PDF]