针对这些局限性,Andy Zeng和他的朋友们在2018年的一篇文章Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning中提出了一种新方法:即通过自我监督、无模型的深度强化学习(Deep Q-learning)来学习推动和抓握之间的协同作用。他们的系统涉及训练两个全卷积网络(FCN),将视觉观...
利用作者训练的模型测试,无效的pushing太多、抓取点和方位都不是很理想、即便物体分的很开的时候也不能有效抓取 纯CPU运行,推和抓的准确性相比GPU会高很多,这是否跟densenet网络前加with torch.no_grad()有关? 随机种子作用域?Pushing位置计算原理? 抓取物体点是以整体物体为单位确定吗? 推的位置误差太大,且有些...
Visual Pushing and Grasping (VPG) is a method for training robotic agents to learn how to plan complementary pushing and grasping actions for manipulation (e.g.for unstructured pick-and-place applications). VPG operates directly on visual observations (RGB-D images), learns from trial and error,...
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - Wayne-Z/visual-pushing-grasping
摘要: Ground4Act is developed via visual grounding for target-oriented tasks in clutter.DQN-based policy achieves pushing of non-target objects to make the target graspable.Push and grasp in a uniform format for common deployment from simulation to reality....
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - 7huan/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - visual-pushing-grasping/evaluate.py at master · mdecourse/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - visual-pushing-grasping/images at master · ElectronicElephant/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. - visual-pushing-grasping/main.py at master · wangcongrobot/visual-pushing-grasping
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