Iretiayo A. Akinola
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Iretiayo A. Akinola |
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, AutoDesk Applied Research, and Google Brain Research Labs.
My research centres on combining planning and learning methods for better perception, motion planning and control in autonomous robots.
Publications
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. Website. Paper. Video.
Iretiayo Akinola*, Zizhao Wang*, Peter Allen
Dynamic Grasping with Reachability and Motion Awareness. Website. Paper. Video.
Iretiayo Akinola*, Jingxi Xu*, Shuran Song, Peter Allen
Visionary: Vision Architecture Discovery for Robot Learning. Paper
Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
International Conference on Robotics and Automation (ICRA 2021)
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras. PDF. Video
Iretiayo Akinola, Jacob Varley, Dmitry Kalashnikov
International Conference on Robotics and Automation (ICRA 2020)
Accelerated Robot Learning via Human Brain Signals. Website. PDF. Video.
Iretiayo Akinola*, Zizhao Wang*, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter Allen
International Conference on Robotics and Automation (ICRA 2020)
Generative Attention Learning: A ‘‘GenerAL’’ Framework for High-Performance Multi-Fingered Grasping in Clutter. Website. PDF. Video.
Bohan Wu, Iretiayo Akinola, Abhi Gupta, Feng Xu, Jacob Varley, David Watkins-Valls, Peter K. Allen
Journal of Autonomous Robots (AURO 2020)
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)
End-to-End Learning-Based Hierarchical Path Planning. [https:sites.google.comviewiros-2019-workshop-lrpc/home
Iretiayo Akinola, Peter Allen
Learning Representations for Planning and Control Workshop, 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
March 2021- Phd Thesis Defense: Improving Robotic Manipulation via Reachability, Tactile and Spatial Awareness.
March 2021- IROS/CASE Reviews.
Nov 2020- ICRA Reviews.
July 2020- Guest talk on “Introdution to Robotics” to high school students attending Columbia University AI4ALL program.
June 2020- Guest Speaker at Demystifying the Dissertation: PhD Research Discussions for Columbia University CS Students.
May 2020- Selected as one of the young researchers to join the annual Heidelberg Laureate Forum.
May 2020- Received the annual Michelman Award given to a PhD student in Computer Science who has performed exemplary service to the department.
March 2020- RSSIROSCASE Reviews.
March 2020- Student Researcher Role with Google Brain Robotics.
Jan 2020- Organized Fundamentals of AI Workshop for Secondary School Students in Ile-Ife, Nigeria.
Nov 2019- Organized Lab Tour and Research Presentations to High School Students visiting Columbia University Robotics Lab, Harlem Children's Zone STEM Exposure, 2019.
Nov 2019- ICRA Reviews.
Nov 2019- Attended IROS in Macau. See our work here. Also, presented at the Learning Representations for Planning and Control Workshop.
Oct 2019- Attended CoRL in Osaka, Japan. See our work here
Oct 2019- Selected for the prestigious Princeton Pathway into the Academy Program at Princeton University
July 2019- Student panelist for the 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