English(EN) Learning to Throw Objects Safely in Multi-Obstacle Environments

机器人学会了在杂乱环境中安全地投掷物体

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-07 15:24

研究人员开发了一种新的机器人投掷方法，可以安全地导航杂乱的环境。该方法使用势场状态表示来指导强化学习策略，使机器人能够泛化到各种障碍物配置。该方法使用运动学演示进行初始化，并使用SAC、DDPG和TD3算法进行优化，在具有未见过物体和杂乱场景的真实世界实验中取得了高达90%的成功率。 AI

影响使机器人在复杂的现实场景中能够进行精确的物体放置。

排序理由这是一篇详细介绍机器人投掷新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Mohammadreza Kasaei, Klemen Voncina, Hamidreza Kasaei · 2026-07-08 04:00

在多障碍环境中学习安全地投掷物体

arXiv:2607.06388v1 Announce Type: cross Abstract: Robotic throwing enables fast and efficient object placement beyond the robot's immediate workspace, but reliable throwing in cluttered environments remains underexplored. Existing approaches, such as TossingBot, learn throwing st…
arXiv cs.LG TIER_1 English(EN) · Hamidreza Kasaei · 2026-07-07 15:24

在多障碍环境中学习安全地投掷物体

Robotic throwing enables fast and efficient object placement beyond the robot's immediate workspace, but reliable throwing in cluttered environments remains underexplored. Existing approaches, such as TossingBot, learn throwing strategies from visual input but assume obstacle-fre…