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Web1 de mar. de 2024 · We present a learning-based method for representing grasp poses of a high-DOF hand using neural networks. Due to redundancy in such high-DOF grippers, … WebThis project is based on our SIGGRAPH2024 paper, Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction Introduction. In this … northland christian school baseball field
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Web1 de mar. de 2024 · We present a learning-based method to represent grasp poses of a high-DOF hand using neural networks. Due to the redundancy in such high-DOF grippers, there exists a large number of equally effective grasp poses for a given target object, making it difficult for the neural network to find consistent grasp poses. Web1 de nov. de 2024 · The forward kinematic model (FKM) is essential in the process of establishing the inverse kinematic model (IKM) of redundant manipulators, in particular … WebHowever, RL to control a high-DoF robot is still an open problem. A major and promising approach is using the dynamic motor primitives with an RL method (Peters et al. 2003; Kober and Peters 2009). A notable feature is its applicabil-ity to motion learning tasks of a high-DoF robot. This tech-nique is based on imitation learning, i.e. the robot ... northland christian high school football