Kentaro Wada

According to our database, Kentaro Wada authored at least 31 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stability analysis of a departure time choice problem with atomic vehicle models.

Koki Satsukawa, Kentaro Wada, Takamasa Iryo

CoRR, 2024

2023

Technique for Introducing Internal Defects with Arbitrary Sizes and Locations in Metals via Additive Manufacturing and Evaluation of Fatigue Properties.

Kazuyuki Morishita, Taichi Yamaguchi, Kentaro Wada, Junichiro Yamabe

Int. J. Autom. Technol., 2023

iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field.

Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

SafePicking: Learning Safe Object Extraction via Object-Level Mapping.

Kentaro Wada, Stephen James, Andrew J. Davison

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ReorientBot: Learning Object Reorientation for Specific-Posed Placement.

Kentaro Wada, Stephen James, Andrew J. Davison

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation.

Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals.

Jiahua Zhang, Kentaro Wada, Takashi Oguchi

CoRR, 2021

Dynamic traffic assignment in a corridor network: Optimum versus Equilibrium.

Haoran Fu, Takashi Akamatsu, Koki Satsukawa, Kentaro Wada

CoRR, 2021

Dynamic system optimal traffic assignment with atomic users: Convergence and stability.

Koki Satsukawa, Kentaro Wada, David P. Watling

CoRR, 2021

2020

A new look at departure time choice equilibrium models with heterogeneous users.

Takashi Akamatsu, Kentaro Wada, Takamasa Iryo, Shunsuke Hayashi

CoRR, 2020

Neural Object Descriptors for Multi-View Shape Reconstruction.

Edgar Sucar, Kentaro Wada, Andrew J. Davison

CoRR, 2020

Few-experiential learning system of robotic picking task with selective dual-arm grasping.

Shingo Kitagawa, Kentaro Wada, Shun Hasegawa, Kei Okada, Masayuki Inaba

Adv. Robotics, 2020

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.

Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction.

Edgar Sucar, Kentaro Wada, Andrew J. Davison

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

A Three-Fingered Hand with a Suction Gripping System for Warehouse Automation.

Shun Hasegawa, Kentaro Wada, Kei Okada, Masayuki Inaba

J. Robotics Mechatronics, 2019

Large-scale Traffic Data Imputation Using Matrix Completion on Graphs.

Tianyang Han, Kentaro Wada, Takashi Oguchi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter.

Kentaro Wada, Kei Okada, Masayuki Inaba

Proceedings of the International Conference on Robotics and Automation, 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

Proceedings of the International Conference on Robotics and Automation, 2019

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 Robotics Autom. Lett., 2018

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

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Detecting and Picking of Folded Objects with a Multiple Sensor Integrated Robot Hand.

Shun Hasegawa, Kentaro Wada, Kei Okada, Masayuki Inaba

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning-Based Task Failure Prediction for Selective Dual-Arm Manipulation in Warehouse Stowing.

Shingo Kitagawa, Kentaro Wada, Kei Okada, Masayuki Inaba

Proceedings of the Intelligent Autonomous Systems 15, 2018

Development of Movable Binocular High-Resolution Eye-Camera Unit for Humanoid and the Evaluation of Looking Around Fixation Control and Object Recognition.

Tasuku Makabe, Kento Kawaharazuka, Kei Tsuzuki, Kentaro Wada, Shogo Makino, Masaya Kawamura, Ayaka Fujii, Moritaka Onitsuka, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

Fundamental Diagram of Rail Transit and Its Application to Dynamic Assignment.

Toru Seo, Kentaro Wada, Daisuke Fukuda

CoRR, 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

Adv. Robotics, 2017

Probabilistic 3D multilabel real-time mapping for multi-object manipulation.

Kentaro Wada, Kei Okada, Masayuki Inaba

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A three-fingered hand with a suction gripping system for picking various objects in cluttered narrow space.

Shun Hasegawa, Kentaro Wada, Yusuke Niitani, Kei Okada, Masayuki Inaba

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 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

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

A Study on Variations of Car-following Behavior at Sag Sections and the Impact of Introducing ACC System.

Yan Yang, Kentaro Wada, Takashi Oguchi, Miho Iryo-Asano

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015