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Kentaro Wada was born in Japan in 1994. He received his B.Sc. (2016) and M.Sc. (2018) from Mechanical Engineering and Computer Science Department in The University of Tokyo (UTokyo). In his research at UTokyo, he was working on learning-based scene understanding for robotic manipulation at JSK laboratory supervised by Prof. Masayuki Inaba and Prof. Kei Okada. For PhD from 2018, he joined Dyson Robotics Laboratory supervised by Prof. Andrew Davison and Dr. Stefan Leutenegger. He is now working on object-level semantic SLAM, which is potentially generally useful for robotic manipulation.


  • Oct 2020: A paper was accepted to 3DV2020!
  • Jun 2020: Attended virtual CVPR2020 conference!
  • Feb 2020: A paper was accepted to CVPR2020!
  • May 2019: Presented two papers at ICRA2019 in Montreal, Canada!
  • Feb 2019: Participated RVSS2019 summer school in Canberra, Australia!
  • Jan 2019: Two papers were accepted to ICRA2019!
  • Oct 2018: Joined Dyson Robotics Laboratory to start his PhD program!
  • Sep 2018: Presented three papers at IROS2018 in Madelaid, Spain!
  • Aug 2018: Finished M.Sc. in Information and Technology Department at The University of Tokyo!

Last Update: 2021-09-17

Selected Papers

  • Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
  • Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
  • arXiv:2106.12534, 2021
  • Neural Object Descriptors for Multi-View Shape Reconstruction
  • Edgar Sucar, Kentaro Wada, Andrew J. Davison
  • IEEE International Conference on 3D Vision (3DV), 2020
  • MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
  • Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects
  • Kentaro Wada, Shingo Kitagawa, Kei Okada, Masayuki Inaba
  • IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS), 2018
  • (Won IEEE RAS JJC Young Award as one of the 5 Japanese students.)
  • Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
  • Kentaro Wada, Kei Okada, Masayuki Inaba
  • IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS), 2017