KENTARO WADA

Thank you for visiting. This is my personal page.

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. He recieved his PhD in 2022, at Dyson Robotics Laboratory in Imperial College London supervised by Prof. Andrew Davison. During his PhD, he worked on object-level semantic scene understanding, a general scene representation useful for robotic manipulation, and showed several novel capabilities of robots. He joined Mujin, Inc. in 2022 as a computer vision engineer, and is working on advancing robots' capabilities in the real-world environment.

Updates

  • Jul 2022: Joined Mujin, Inc. as a computer vision engineer.
  • May 2022: Presented two papers at ICRA 2022 in Philadelphia, US.
  • Mar 2022: Passed the PhD viva.
  • Feb 2022: Submitted the PhD thesis.
  • Jan 2022: Two papers were accepted to ICRA 2022.
  • Oct 2020: A paper was accepted to 3DV 2020.
  • Jun 2020: Presented a paper at CVPR 2020.
  • Feb 2020: A paper was accepted to CVPR 2020.
  • May 2019: Presented two papers at ICRA 2019 in Montreal, Canada.
  • Feb 2019: Participated RVSS2019 summer school in Canberra, Australia.
  • Jan 2019: Two papers were accepted to ICRA 2019.
  • Oct 2018: Joined Dyson Robotics Laboratory to start his PhD program.

Last Update: 2022-07-24

Selected Papers

  • Robotic Manipulation in Clutter with Object-Level Semantic Mapping
  • Kentaro Wada
  • PhD Thesis, Imperial College London, Department of Computing, 2022
  • ReorientBot: Learning Object Reorientation for Specific-Posed Placement
  • Kentaro Wada, Stephen James, Andrew J. Davison
  • IEEE International Conference on Robotics and Automation (ICRA), 2022
  • SafePicking: Learning Safe Object Extraction via Object-Level Mapping
  • Kentaro Wada, Stephen James, Andrew J. Davison
  • IEEE International Conference on Robotics and Automation (ICRA), 2022
  • NodeSLAM: 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.)