KENTARO WADA

Thank you for visiting. This is my personal page.

Projects

  • TruckBot Autonomous Truck Trailer and Shipping Container Unloader Debuts at ProMat 2023
  • As a computer vision engineer at Mujin, Inc.
  • ProMat, 2023
  • iMODE: Real-Time Incremental Monocular Dense Mapping Using Neural Field
  • Hidenobu Matsuki, Edgar Sucar, Tristan Laidow, Kentaro Wada, Raluca Scona, Andrew J. Davison
  • IEEE International Conference on Robotics and Automation (ICRA), 2023
  • 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
  • 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
  • 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
  • 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.)
  • Detecting and Picking of Folded Objects with a Multiple Sensor Integrated Robot Hand
  • Shun Hasegawa, Kentaro Wada, Shingo Kitagawa, Kei Okada, Masayuki Inaba
  • IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS), 2018
  • Multi-stage Learning of Selective Dual-arm Grasping Based on Obtaining and Pruning Grasping Points Through the Robot Experience in the Real World
  • Shingo Kitagawa, Kentaro Wada, Shun Hasegawa, Kei Okada, Masayuki Inaba
  • IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS), 2018
  • Learning to Segment Generic Handheld Objects Using Class–Agnostic Deep Comparison and Segmentation Network
  • Krishneel Chaudhary, Kentaro Wada, Xiangyu Chen, Kohei Kimura, Kei Okada, Masayuki Inaba
  • IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS), 2018
  • Learning-Based Task Failure Prediction for Selective Dual-Arm Manipulation in Warehouse Stowing
  • Shingo Kitagawa, Kentaro Wada, Kei Okada, Masayuki Inaba
  • International Conference on Intelligent Autonomous Systems (IAS), 2018
  • 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
  • A Three-Fingered Hand with a Suction Gripping System for Picking Various Objects in Cluttered Narrow Space
  • Kentaro Wada, Shun Hasegawa, 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
  • 3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
  • Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba
  • IEEE International Conference on Humanoid Robotics (Humanoids), 2016
  • Transformable Semantic Map Based Navigation using Autonomous Deep Learning Object Segmentation
  • Yuki Furuta, Kentaro Wada, Masaki Murooka, Shunichi Nozawa, Yohei Kakiuchi, Kei Okada, Masayuki Inaba
  • IEEE International Conference on Humanoid Robotics (Humanoids), 2016

Other Projects

  • Team-K at International Amazon Robotics Challenge 2017
  • Shun Hasegawa*, Shingo Kitagawa*, Kentaro Wada*, Yuto Uchimi, Naoya Yamaguchi, Kei Okada
  • Robocup, 2017
  • (12th/13th place among 16 teams in pick/stow tasks. Actually, we had a hardware problem while pick task.)
  • Team-K at International Amazon Picking Challenge 2016
  • Kentaro Wada, Shun Hasegawa, Shingo Kitagawa, Yusuke Niitani, Masahiro Bando, Kei Okada
  • Robocup, 2016
  • (Got 5th place at pick task and 8th place at stow task among 16 teams)
  • Reactive and Adaptive Path Planning Using Sensor Feedback and Operator Input
  • Kentaro Wada, Shaun Edwards, Fred Proctor
  • Google Summer of Code (GSoC) 2016, 2016
  • Team-K at International Amazon Picking Challenge 2015
  • Kentaro Wada*, Iori Yanokura*, Yuto Inagaki*, Makoto Sugiura, Kei Okada
  • International Conference on Robotics and Automation (ICRA) Competition, 2015
  • (Got 8th place in 28 teams)