Robotics & Machine Learning Daily News2024,Issue(Nov.11) :94-95.

Findings on Androids Reported by Investigators at Beijing Institute of Technolog y (Robust Humanoid Robot Vehicle Ingress With a Finite State Machine Integrated With Deep Reinforcement Learning)

北京工业大学研究人员报告的关于机器人的发现(具有有限状态机和深度强化学习集成的鲁棒仿人机器人车辆进入)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :94-95.

Findings on Androids Reported by Investigators at Beijing Institute of Technolog y (Robust Humanoid Robot Vehicle Ingress With a Finite State Machine Integrated With Deep Reinforcement Learning)

北京工业大学研究人员报告的关于机器人的发现(具有有限状态机和深度强化学习集成的鲁棒仿人机器人车辆进入)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的新研究-机器人是一篇报道的主题。据新闻报道来自中国人民共和国北京,由NewsRx记者报道,研究称,“进入”在仿人机器人驾驶陆地车辆并快速到达预定目标的过程中,任务非常关键。以前的工作在赋予机器人从随机起始位置进入车辆的能力方面效率低下以及车辆的取向或承受弹性,这两者都很难建模。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics - Androids is the subject of a report. According to newsoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Ingresstask is cr ucial in a humanoid robot’s attempt to drive a land vehicle and reach its destin ation fast.Previous work is inefficient in granting robots the ability to enter a vehicle from random starting positionsand orientations or withstand elastici ty in vehicles, which are both hard to model.”

Key words

Beijing/People’s Republic of China/Asi a/Androids/Emerging Technologies/Machine Learning/Reinforcement Learning/Ro bot/Robotics/Beijing Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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