协作机器人动态参数识别与碰撞检测方法研究

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2023-09-12 DOI:10.1108/ir-05-2023-0091
Shuwen Sun, Chenyu Song, Bo Wang, Haiming Huang
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引用次数: 0

摘要

目的协作机器人的安全性能尤为重要。本文旨在研究协作机器人的碰撞检测和响应,以满足协作机器人的轻量化要求,并有助于确保人与机器人的安全。本文提出了一种基于动态模型的碰撞检测、识别和响应方法。首先,本文对机器人的动力学模型进行了辨识。其次,基于模型建立外部力矩观测器,设计动态阈值碰撞检测方法,降低模型不确定性对碰撞检测的干扰;最后,设计了碰撞位置和方向估计方法,并提出了机器人碰撞响应策略,以减少碰撞对人体的伤害。对静态阈值和动态阈值碰撞检测进行了对比实验,结果表明,静态阈值只能检测到一次碰撞,而动态阈值可以检测到所有碰撞。进行碰撞位置和方向估计及碰撞响应实验,结果表明,该方法可以确定碰撞发生的位置和方向,并使机器人实现碰撞分离。本文设计了一种不需要外部传感器的动态阈值碰撞检测方法。与静态阈值碰撞检测方法相比,该方法可以显著提高碰撞检测的灵敏度。本文还提出了一种碰撞位置方向估计方法和碰撞分离响应策略,使机器人能够实现碰撞后分离,提高协作机器人的安全性。
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Research on dynamic parameter identification and collision detection method for cooperative robots
Purpose The safety performance of cooperative robots is particularly important. This paper aims to study collision detection and response of cooperative robots, which meet the lightweight requirements of cooperative robots and help to ensure the safety of humans and robots. Design/methodology/approach This paper proposes a collision detection, recognition and response method based on dynamic models. First, this paper identifies the dynamic model of the robot. Second, an external torque observer is established based on the model, and a dynamic threshold collision detection method is designed to reduce the interference of model uncertainty on collision detection. Finally, a collision position and direction estimation method is designed, and a robot collision response strategy is proposed to reduce the harm caused by collisions to humans. Findings Comparative experiments are conducted on static threshold and dynamic threshold collision detection, and the results showed that the static threshold only detected one collision while the dynamic threshold could detect all collisions. Conducting collision position and direction estimation and collision response experiments, and the results show that this method can determine the location and direction of collision occurrence, and enable the robot to achieve collision separation. Originality/value This paper designs a dynamic threshold collision detection method that does not require external sensors. Compared with static threshold collision detection methods, this method can significantly improve the sensitivity of collision detection. This paper also proposes a collision position direction estimation method and collision separation response strategy, which can enable robots to achieve post collision separation and improve the safety of cooperative robots.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
期刊最新文献
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