4 citations · 12 across the 8 of their papers we have counts for
8 papers
Development of a Shape-memorable Adaptive Pin Array Fixture
Peihao Shi, Zhengtao Hu, Kazuyuki Nagata +3
This paper proposes an adaptive pin-array fixture. The key idea of this research is to use the shape-memorable mechanism of pin array to fix multiple different shaped parts with co…
Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands
Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa +3
Synergy supplies a practical approach for expressing various postures of a multi-fingered hand. However, a conventional synergy defined for reproducing grasping postures cannot per…
Tool Exchangeable Grasp/Assembly Planner
Kensuke Harada, Kento Nakayama, Weiwei Wan +3
This paper proposes a novel assembly planner for a manipulator which can simultaneously plan assembly sequence, robot motion, grasping configuration, and exchange of grippers. Our…
Experiments on Learning Based Industrial Bin-picking with Iterative Visual Recognition
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper shows experimental results on learning based randomized bin-picking combined with iterative visual recognition. We use the random forest to predict whether or not a robo…
Assembly Sequence Planning for Motion Planning
Weiwei Wan, Kensuke Harada, Kazuyuki Nagata
This paper develops a planner to find an optimal assembly sequence to assemble several objects. The input to the planner is the mesh models of the objects, the relative poses betwe…
A Mid-level Planning System for Object Reorientation
Weiwei Wan, Hisashi Igawa, Kensuke Harada +4
This paper presents a mid-level planning system for object reorientation. It includes a grasp planner, a placement planner, and a regrasp sequence solver. Given the initial and goa…
Iterative Visual Recognition for Learning Based Randomized Bin-Picking
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper proposes a iterative visual recognition system for learning based randomized bin-picking. Since the configuration on randomly stacked objects while executing the current…
Initial Experiments on Learning-Based Randomized Bin-Picking Allowing Finger Contact with Neighboring Objects
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper proposes a novel method for randomized bin-picking based on learning. When a two-fingered gripper tries to pick an object from the pile, a finger often contacts a neighb…