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Kentaro Wada
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2020 – today
- 2024
- [i15]Koki Satsukawa, Kentaro Wada, Takamasa Iryo:
Stability analysis of a departure time choice problem with atomic vehicle models. CoRR abs/2401.07455 (2024) - 2023
- [j5]Kazuyuki Morishita, Taichi Yamaguchi, Kentaro Wada, Junichiro Yamabe:
Technique for Introducing Internal Defects with Arbitrary Sizes and Locations in Metals via Additive Manufacturing and Evaluation of Fatigue Properties. Int. J. Autom. Technol. 17(4): 378-387 (2023) - [c19]Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison:
iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field. ICRA 2023: 4171-4177 - 2022
- [c18]Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison:
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CVPR 2022: 13729-13738 - [c17]Kentaro Wada, Stephen James, Andrew J. Davison:
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. ICRA 2022: 8252-8258 - [c16]Kentaro Wada, Stephen James, Andrew J. Davison:
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. ICRA 2022: 10202-10208 - [i14]Kentaro Wada, Stephen James, Andrew J. Davison:
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. CoRR abs/2202.05832 (2022) - [i13]Kentaro Wada, Stephen James, Andrew J. Davison:
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. CoRR abs/2202.11092 (2022) - 2021
- [i12]Koki Satsukawa, Kentaro Wada, David P. Watling
:
Dynamic system optimal traffic assignment with atomic users: Convergence and stability. CoRR abs/2101.00116 (2021) - [i11]Haoran Fu, Takashi Akamatsu
Dynamic traffic assignment in a corridor network: Optimum versus Equilibrium. CoRR abs/2102.01899 (2021) - [i10]Jiahua Zhang, Kentaro Wada, Takashi Oguchi:
Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals. CoRR abs/2102.13454 (2021) - [i9]Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison:
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CoRR abs/2106.12534 (2021) - 2020
- [j4]Shingo Kitagawa
Few-experiential learning system of robotic picking task with selective dual-arm grasping. Adv. Robotics 34(18): 1171-1189 (2020) - [c15]Edgar Sucar, Kentaro Wada, Andrew J. Davison:
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction. 3DV 2020: 949-958 - [c14]Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CVPR 2020: 14528-14537 - [i8]Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba:
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map. CoRR abs/2001.05406 (2020) - [i7]Kentaro Wada, Kei Okada, Masayuki Inaba:
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation. CoRR abs/2001.05752 (2020) - [i6]Kentaro Wada, Shingo Kitagawa, Kei Okada, Masayuki Inaba:
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects. CoRR abs/2001.07475 (2020) - [i5]Kentaro Wada, Kei Okada, Masayuki Inaba:
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter. CoRR abs/2001.07481 (2020) - [i4]Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CoRR abs/2004.04336 (2020) - [i3]Edgar Sucar, Kentaro Wada, Andrew J. Davison:
Neural Object Descriptors for Multi-View Shape Reconstruction. CoRR abs/2004.04485 (2020) - [i2]Takashi Akamatsu, Kentaro Wada, Takamasa Iryo, Shunsuke Hayashi:
A new look at departure time choice equilibrium models with heterogeneous users. CoRR abs/2009.11037 (2020)
2010 – 2019
- 2019
- [j3]Shun Hasegawa
A Three-Fingered Hand with a Suction Gripping System for Warehouse Automation. J. Robotics Mechatronics 31(2): 289-304 (2019) - [c13]Shun Hasegawa
GraspFusion: Realizing Complex Motion by Learning and Fusing Grasp Modalities with Instance Segmentation. ICRA 2019: 7235-7241 - [c12]Kentaro Wada, Kei Okada, Masayuki Inaba:
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter. ICRA 2019: 9558-9564 - [c11]Tianyang Han, Kentaro Wada
Large-scale Traffic Data Imputation Using Matrix Completion on Graphs. ITSC 2019: 2252-2258 - 2018
- [j2]Krishneel Chaudhary
Learning to Segment Generic Handheld Objects Using Class-Agnostic Deep Comparison and Segmentation Network. IEEE Robotics Autom. Lett. 3(4): 3844-3851 (2018) - [c10]Tasuku Makabe, Kento Kawaharazuka, Kei Tsuzuki, Kentaro Wada, Shogo Makino, Masaya Kawamura, Ayaka Fujii, Moritaka Onitsuka, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba:
Development of Movable Binocular High-Resolution Eye-Camera Unit for Humanoid and the Evaluation of Looking Around Fixation Control and Object Recognition. Humanoids 2018: 840-845 - [c9]Shingo Kitagawa, Kentaro Wada, Kei Okada, Masayuki Inaba:
Learning-Based Task Failure Prediction for Selective Dual-Arm Manipulation in Warehouse Stowing. IAS 2018: 428-439 - [c8]Shun Hasegawa
Detecting and Picking of Folded Objects with a Multiple Sensor Integrated Robot Hand. IROS 2018: 1138-1145 - [c7]Kentaro Wada, Shingo Kitagawa
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects. IROS 2018: 2048-2055 - [c6]Shingo Kitagawa
Multi-Stage Learning of Selective Dual-Arm Grasping Based on Obtaining and Pruning Grasping Points Through the Robot Experience in the Real World. IROS 2018: 7123-7130 - 2017
- [j1]Kentaro Wada, Makoto Sugiura, Iori Yanokura, Yuto Inagaki, Kei Okada, Masayuki Inaba:
Pick-and-verify: verification-based highly reliable picking system for various target objects in clutter. Adv. Robotics 31(6): 311-321 (2017) - [c5]Shun Hasegawa
A three-fingered hand with a suction gripping system for picking various objects in cluttered narrow space. IROS 2017: 1164-1171 - [c4]Kentaro Wada, Kei Okada, Masayuki Inaba:
Probabilistic 3D multilabel real-time mapping for multi-object manipulation. IROS 2017: 5092-5099 - [i1]Toru Seo, Kentaro Wada, Daisuke Fukuda:
Fundamental Diagram of Rail Transit and Its Application to Dynamic Assignment. CoRR abs/1708.02147 (2017) - 2016
- [c3]Yuki Furuta, Kentaro Wada, Masaki Murooka
Transformable semantic map based navigation using autonomous deep learning object segmentation. Humanoids 2016: 614-620 - [c2]Kentaro Wada, Masaki Murooka
3D object segmentation for shelf bin picking by humanoid with deep learning and occupancy voxel grid map. Humanoids 2016: 1149-1154 - 2015
- [c1]Yan Yang, Kentaro Wada
A Study on Variations of Car-following Behavior at Sag Sections and the Impact of Introducing ACC System. ITSC 2015: 256-261
Coauthor Index
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last updated on 2024-11-26 20:41 CET by the dblp team
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