论文标题

迈向先进的机器人操纵

Towards advanced robotic manipulation

论文作者

Sanchez, Francisco Roldan, Redmond, Stephen, McGuinness, Kevin, O'Connor, Noel

论文摘要

近年来,机器人的操纵和控制的重要性增加了。但是,在需要在现实世界应用中运行时,最新技术的状态仍然存在局限性。本文探讨了在模拟环境和真实环境中重播的事后观看经验,突出了其弱点,并根据奖励和目标塑造提出了基于加强学习的替代方案。此外,还确定了一些研究问题以及可以探索以解决这些问题的潜在研究方向。

Robotic manipulation and control has increased in importance in recent years. However, state of the art techniques still have limitations when required to operate in real world applications. This paper explores Hindsight Experience Replay both in simulated and real environments, highlighting its weaknesses and proposing reinforcement-learning based alternatives based on reward and goal shaping. Additionally, several research questions are identified along with potential research directions that could be explored to tackle those questions.

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