KENTARO WADA

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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.

Updates

  • 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: 2019-05-23


Selected Papers

  • Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter
  • Kentaro Wada, Kei Okada, Masayuki Inaba
  • IEEE International Conference on Robotics and Automation (ICRA), 2019
  • GraspFusion: Realizing Complex Motion by Learning and Fusing Grasp Modalities with Instance Segmentation
  • Shun Hasegawa*, Kentaro Wada*, Shingo Kitagawa, Yuto Uchimi, Kei Okada, Masayuki Inaba
  • IEEE International Conference on Robotics and Automation (ICRA), 2019
  • (Won IEEE RAS JJC Young Award as one of the 5 Japanese students.)
  • 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
  • Pick-and-Verify: Verification-based Highly Reliable Picking System for Various Target Objects in Clutter
  • Kentaro Wada, Makoto Sugiura, Iori Yanokura, Yuto Inagaki, Kei Okada, Masayuki Inaba
  • Journal of Advanced Robotics, 2016