国际机器人联合会报告:迈向2020年的机器人大趋

IFR Report: Top Robotics Trends Heading into 2020
20200205/573.html">国际机器人联合会报告:迈向2020年的机器人大趋势

From 2020 to 2022 almost 2 million new units of industrial robots are expected to be installed in factories around the world. New technology trends and market developments enable companies to react to changing requirements. The International Federation of Robotics shows top trends to innovate.

从2020年到2022年,预计全球工厂将装置近200万台新的工业机器人。新技巧趋势跟市场开展使公司能够关于一直变更的需求做出反映。国际机器人联合会(IFR)指出了主要的翻新趋势。

“Smart robotics and automation are vital to deal with new consumer trends, demand for product variety or challenges from trade barriers”, says Dr. Susanne Bieller, General Secretary of the IFR. “New technological solutions pave the way for more flexibility in production.”

IFR秘书长Susanne Bieller博士表示:“智能机器人跟自动化对应关于新的花费趋势、产品多样化需求或商业壁垒带来的挑战至关重要。新技巧解决方案为先进出产灵活性铺平了门路。”

Simplification, Collaboration and Digitalization are key drivers that will benefit robot implementation.
简化、合作跟数字化是采纳机器人的要害驱动因素。

Robots get smarter   
机器人变得更聪明

Programming and installation of robots become much easier. How this looks in practice: Digital sensors combined with smart software allow direct teaching methods, so-called “Programming by Demonstration”. The task that the robot arm is to perform is first executed by a human: He literally takes the robot arm and hand-guides it through the movements. This data is then transformed by the software into the digital program of the robot arm. In future, machine learning tools will further enable robots to learn by trial-and-error or by video demonstration and self-optimize their movements.

机器人的编程跟装置变得更加容易。实际情况应该是:数字传感器与智能软件相结合,可能采纳直接的传授措施,即所谓的“演示编程”。机器人手臂要完成的任务首先由人来完成:他实际上抓住机器人手臂,用手领导它完成动作。然后通过软件将该数据转换为机械臂的数字程序。未来,机器进修工具将进一步使机器人能够通过重复试验或视频演示来进修并自我优化其活动。

Robots collaborate with workers
机器人与人合作

Human-robot collaboration is another important trend in robotics. With the ability to work in tandem with humans, modern robotic systems are able to adapt to a rapidly changing environment. The range of collaborative applications offered by robot manufacturers continues to expand. Currently, shared workspace applications are most common. Robot and worker operate alongside each other, completing tasks sequentially. Applications in which the human and the robot work at the same time on the same part are even more challenging. Research and Development (R&D) focuses on methods to enable robots to respond in real-time. Just like two human workers would collaborate, the R&D teams want them to adjust its motion to its environment, allowing for a true responsive collaboration. These solutions include voice, gesture and recognition of intent from human motion. With the technology of today, human-robot collaboration has already a huge potential for companies of all sizes and sectors. Collaborative operations will complement investments in traditional industrial robots.

人机合作是机器人技巧的另一个重要趋势。存在与人类协同工作的能力,现代机器人系统能够适应神速变更的环境。机器人制造商提供的合作利用程序范畴一直扩张。当前,共享工作区域利用程序是最难得的。机器人跟工人并肩工作,依次完成任务。人与机器人同时在同一地方工作的利用更具挑战性。研发主要致力于使机器人能够实时照应的措施。就像两个人合作一样,研发团队盼望他们依据环境调剂动作,从而实现真正的照应式合作。这些解决方案包括语音、手势跟人类动作意图辨认。借助当今的技巧,人机合作对各种规模跟行业的公司都存在伟大的潜力。合作运营将补充关于传统工业机器人的投资。

Robots Go Digital  
机器人迈向数字化

Industrial robots are the central components of digital and networked production as used in industry 4.0. This makes it all the more important for them to be able to communicate with each other - regardless of the manufacturer. The so called “OPC Robotics Companion Specification”, which has been developed by a joint working group of the VDMA and the Open Platform Communications Foundation (OPC), defines a standardized generic interface for industrial robots and enables industrial robots to connect into the Industrial Internet of Things (IIoT). The digital connectivity of robots with e.g. cloud technology is also an enabler for new business models: Robot leasing for example - called Robots-as-a-Service - has advantages that might be especially attractive for small and medium-sized enterprises (SMEs): no committed capital, fixed costs, automatic upgrades and no need for high-qualified robot operators.