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Kentaro Wada
Kentaro Wada
Mujin, Inc.
在 imperial.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
NodeSLAM: Neural object descriptors for multi-view shape reconstruction
E Sucar, K Wada, A Davison
2020 International Conference on 3D Vision (3DV), 949-958, 2020
1152020
Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion
K Wada, E Sucar, S James, D Lenton, AJ Davison
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
942020
Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation
S James, K Wada, T Laidlow, AJ Davison
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
832022
A three-fingered hand with a suction gripping system for picking various objects in cluttered narrow space
S Hasegawa, K Wada, Y Niitani, K Okada, M Inaba
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
552017
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
K Wada, S James, AJ Davison
2022 International Conference on Robotics and Automation (ICRA), 8252-8258, 2022
272022
Joint learning of instance and semantic segmentation for robotic pick-and-place with heavy occlusions in clutter
K Wada, K Okada, M Inaba
2019 International Conference on Robotics and Automation (ICRA), 9558-9564, 2019
262019
Instance segmentation of visible and occluded regions for finding and picking target from a pile of objects
K Wada, S Kitagawa, K Okada, M Inaba
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
232018
Graspfusion: Realizing complex motion by learning and fusing grasp modalities with instance segmentation
S Hasegawa, K Wada, S Kitagawa, Y Uchimi, K Okada, M Inaba
2019 International Conference on Robotics and Automation (ICRA), 7235-7241, 2019
192019
A three-fingered hand with a suction gripping system for warehouse automation
S Hasegawa, K Wada, K Okada, M Inaba
Journal of Robotics and Mechatronics 31 (2), 289-304, 2019
172019
3D object segmentation for shelf bin picking by humanoid with deep learning and occupancy voxel grid map
K Wada, M Murooka, K Okada, M Inaba
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
152016
Transformable semantic map based navigation using autonomous deep learning object segmentation
Y Furuta, K Wada, M Murooka, S Nozawa, Y Kakiuchi, K Okada, M Inaba
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
122016
SafePicking: Learning safe object extraction via object-level mapping
K Wada, S James, AJ Davison
2022 International Conference on Robotics and Automation (ICRA), 10202-10208, 2022
112022
Probabilistic 3D multilabel real-time mapping for multi-object manipulation
K Wada, K Okada, M Inaba
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
112017
Multi-stage learning of selective dual-arm grasping based on obtaining and pruning grasping points through the robot experience in the real world
S Kitagawa, K Wada, S Hasegawa, K Okada, M Inaba
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
102018
Detecting and picking of folded objects with a multiple sensor integrated robot hand
S Hasegawa, K Wada, K Okada, M Inaba
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
102018
Learning to segment generic handheld objects using class-agnostic deep comparison and segmentation network
K Chaudhary, K Wada, X Chen, K Kimura, K Okada, M Inaba
IEEE Robotics and Automation Letters 3 (4), 3844-3851, 2018
92018
Pick-and-verify: verification-based highly reliable picking system for various target objects in clutter
K Wada, M Sugiura, I Yanokura, Y Inagaki, K Okada, M Inaba
Advanced Robotics 31 (6), 311-321, 2017
92017
Learning-based task failure prediction for selective dual-arm manipulation in warehouse stowing
S Kitagawa, K Wada, K Okada, M Inaba
Intelligent Autonomous Systems 15: Proceedings of the 15th International …, 2019
22019
Robotic manipulation in clutter with object-level semantic mapping
K Wada
Imperial College London, 2022
2022
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