Chinwe Ekenna

Papers with Parasol Lab:

• The Impact of Approximate Methods on Local Learning in Motion Planning

  by Diane Uwacu, Chinwe Ekenna, Shawna Thomas, Nancy Amato
  1st International Workshop on Robot Learning and Planning (RLP 2016), in conjunction with RSS 2016, June 2016

• Studying Learning Techniques in Different Phases of PRM Construction

  by Chinwe Ekenna, Diane Uwacu, Shawna Thomas, Nancy Amato
  In Machine Learning in Planning and Control of Robot Motion Workshop (IROS-MLPC), October 2015

• Improved Roadmap Connection via Local Learning for Sampling Based Planners

  by Chinwe Ekenna, Diane Uwacu, Shawna Thomas, Nancy Amato
  Proc. IEEE/RSJ Int. Conf. Intel. Rob. Syst. (IROS), October 2015

• Adaptive Neighbor Connection using Node Characterization

  by Chinwe Ekenna, Shawna Thomas, Nancy M. Amato
  N/A, January 2014

• Adaptive Neighbor Connection for PRMs: A Natural Fit for Heterogeneous Environments and Parallelism

  by Chinwe Ekenna, Sam Ade Jacobs, Shawna Thomas, Nancy M. Amato
  In. Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2013

• Rigidity Analysis for Protein Motion and Folding Core Identification

  by Shawna Thomas, Lydia Tapia, Chinwe Ekenna, Hsin-Yi (Cindy) Yeh, Nancy M. Amato
  Association for the Advancement of Artificial Intelligence (AAAI) Workshop, July 2013

• A Multi-Directional Rapidly Exploring Random Graph (mRRG) for Protein Folding

  by Shuvra Nath, Shawna Thomas, Chinwe Ekenna, Nancy M. Amato
  Proc. ACM Conference on Bioinformatics, Computational Biology and Biomedicine (BCB), October 2012