Consider the problem of automatically planning the necessary actions for a robot to perform a task. The following information must be determined by considering the nature of the task and the mechanical characteristics of the robot:
Here, the figure in the left shows the graph structure used to determine the assembly sequence. Taking the above points into account, by attributing them to the graph search problem, we can automatically determine the necessary actions the robot needs to perform.
Supplementary video on "Efficient Task/Motion Planning for a Dual-arm Robot from Language Instructions and Cooking Images" presented at IROS 2022.
Supplementary video on "Efficient Task/Motion Planning for a Dual-arm Robot from Language Instructions and Cooking Images" presented at IROS 2022.
Supplementary video on "Graph Based Framework on Bimanual Manipulation Planning from Cooking Recipe" submitted for MDPI Robotics.
Supplementary video on "Food Arrangement Framework for Cooking Robots" presented at IEEE/ASME AIM 2022.
1. Assembly Sequence Planning for Motion Planning, Weiwei Wan, Kensuke Harada, and Kazuyuki Nagata, Assembly Automatoin (AA), 2017.
2. Planning to Build Block Structures with Unstable Intermediate States Using two Manipulators, Hao Chen, Weiwei Wan, Keisuke Koyama, and Kensuke Harada, IEEE Transactions on Automation Science and Engineering (TASE), 2021. Video (Reported by IEEE Spectrum Video Friday)
Learning Based Industrial Bin-picking Trained with Approximate Physics Simulator
Ryo Matsumura, Kensuke Harada, Yukiyasu Domae, and Weiwei Wan
International Conference on Intelligent Autonomous Systems (IAS) 2018
Bin-Picking for Potentially Entangled Object by Linearing Image of the Pile
Mizuki Takasu, Xinyi Zhang, Yukiyasu Domae, Weiwei Wan, Kensuke Harada