Iretiayo A. Akinola

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Iretiayo A. Akinola
Ph.D. Student
Computer Science
Columbia University

About me

I am Microsoft PhD Fellow and a Ph.D. candidate in the Computer Science department at Columbia University. I work with Professor Peter Allen in the Columbia University Robotics Lab.

Previously, I received my M.S. degree in Electrical Engineering from Stanford University and my B.Sc. degree in Electronic and Electrical Engineering from Obafemi Awolowo University, Nigeria. I have held research interships at IBM Research and AutoDesk Applied Research Labs.

My research centres on combining planning and learning methods for better perception, motion planning and control in autonomous robots.

Publications

  • MAT - Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning. Website. PDF. Video.

    • Bohan Wu, Iretiayo Akinola, Jacob Varley, Peter Allen

    • Conference on Robot Learning (CoRL 2019)

  • Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes. Website. PDF. Video.

    • Bohan Wu, Iretiayo Akinola, Peter Allen

    • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)

  • Workspace Aware Online Grasp Planning. Website. PDF. Video.

    • Iretiayo Akinola, Jacob Varley, Boyuan Chen, Peter Allen

    • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)

  • Task Level Hierarchical System for BCI-enabled Shared Autonomy. Website. PDF. Video.

    • Iretiayo Akinola, Boyuan Chen, Jonathan Koss, Aalhad Patankar, Jake Varley, Peter Allen

    • IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids 2017)

  • Efficient illuminant correction in the local, linear, learned (L3) method. PDF.

    • Francois G. Germain, Iretiayo A. Akinola, Qiyuan Tian, Steven Lansel, and Brian A. Wandell

    • Proc. SPIE 9404, Digital Photography XI, 940404 (2015)

Teaching

  • Humanoid Robotics (Spring 2019)

    • Guest Lecture: Reinforcement Learning in Robotics. Slides.

  • Computational Aspects of Robotics (Fall 2018)

    • Guest Lecture: Reinforcement Learning. Slides.

  • Humanoid Robotics (Spring 2018)

    • Guest Lecture: Reinforcement Learning in Robotics. Slides.

  • Computational Aspects of Robotics (Fall 2017)

    • Guest Lecture: Shared Autonomy. Slides.

  • Humanoid Robotics (Spring 2017)

    • Teaching Assistant

  • Computational Aspects of Robotics (Fall 2016)

    • Teaching Assistant

PhD Journey: Landmarks

  • July 2019- Student panel for Columbia University AI4ALL program.

  • June 2019- Co-presented two works at NEMS 2019 at the Columbia University.

  • June 2019- Summer Research Internship with Google Brain Robotics.

  • May 2019- Served as part of Admissions Review Committee for Columbia University AI4ALL program.

  • March 2019- RSS/IROS Reviews.

  • Jan 2019- Student organizer for Faculty Colloquiums and PhD Candidate talks in the Computer Science Department.

  • Nov 2018- ICRA Reviews.

  • Oct 2018- Attended Microsoft PhD Summit in Redmond.

  • Oct 2018- Presented our work at IROS 2018 in Madrid.

  • Sept 2018- Attended at ROSCon 2018 and IROS 2018 in Madrid. Checkout my take-away slides.

  • Sept 2018- Attended Microsoft Reinforcement Learning Day at New York University.

  • July 2018- Gave a talk to visiting Applied Maths students from the University of Twente.

  • June 2018- Gave a talk at NEMS 2018 at Yale University.

  • Feb 2018- Guest Lecture at the Humanoid Robotics Class.

  • Jan 2018- Received the Microsoft PhD Fellowship (Twitter).

  • Nov 2017- Presented our work at Humanoids 2017 in Birmingham, UK.

  • June 2017- Gave a talk at NEMS 2017 at the Northeastern University.

  • Aug 2017- Attended ACM Richard Tapia Celebration of Diversity in Computing, Atlanta, Georgia.

  • Jul 2017- Attended Reinforcement Learning Summer School (RLSS) in Montreal.

  • Jan 2017- Attended IEEE RAS Winter School on Consumer Robotics and the Consumer Electronics Show in Las Vegas.

  • May 2016- Started Internship at AutoDesk Applied Research Lab, San Francisco.

  • Jan 2016- Started PhD program at the Computer Science Department, Columbia University

Contact

Department of Computer Science
Columbia University Room 450 Mudd
500 W. 120th Street, M.C. 0401
New York, New York 10027
+1 212 939 7093 +1 212 666 0140 (Fax)

Office: 613 Schapiro CESPSR

Email: iakinola at cs.columbia dot edu