Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a iterative visual recognition system for learning based randomized bin-picking. Since the configuration on randomly stacked objects while executing the current picking trial is just partially different from the configuration while executing the previous picking trial,  consider detecting the poses of objects just by using a part of visual image taken at the current picking trial where it is different from the visual image taken at the previous picking trial. By using this method,  do not need to try to detect the poses of all objects included in the pile at every picking trial. Assuming the 3D vision sensor attached at the wrist of a manipulator,  first explain a method to determine the pose of a 3D vision sensor maximizing the visibility of randomly stacked objects. Then,  explain a method for detecting the poses of randomly stacked objects. Effectiveness of our proposed approach is confirmed by experiments using a dual-arm manipulator where a 3D vision sensor and the two-fingered hand attached at the right and the left wrists, respectively.
['Kensuke Harada', 'Weiwei Wan', 'Tokuo Tsuji', 'Kohei Kikuchi', 'Kazuyuki Nagata', 'Hiromu Onda']
I am writing a research paper on a idea Iterative Visual Recognition for Learning Based Randomized Bin-Picking
[{"from": "human", "value": "I am writing a research paper on a idea Iterative Visual Recognition for Learning Based Randomized Bin-Picking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a iterative visual recognition system for learning based randomized bin-picking. Since the configuration on randomly stacked objects while executing the current picking trial is just partially different from the configuration while executing the previous picking trial,  consider detecting the poses of objects just by using a part of visual image taken at the current picking trial where it is different from the visual image taken at the previous picking trial. By using this method,  do not need to try to detect the poses of all objects included in the pile at every picking trial. Assuming the 3D vision sensor attached at the wrist of a manipulator,  first explain a method to determine the pose of a 3D vision sensor maximizing the visibility of randomly stacked objects. Then,  explain a method for detecting the poses of randomly stacked objects. Effectiveness of our proposed approach is confirmed by experiments using a dual-arm manipulator where a 3D vision sensor and the two-fingered hand attached at the right and the left wrists, respectively."}]