2020/07/01
ID: 3120

Mobile robot system meets BionicSoftHand 2.0

BionicMobileAssistant as an autonomous helper in assembly and intralogistics

Industrial change demands a new kind of interaction between people, machines and data. In the future, operators and robots will work ever more closely together. This is why Festo has been working intensively on systems which, for example, can relieve people of monotonous or hazardous activities while at the same time posing no risk. Artificial intelligence plays a central role here. The BionicMobileAssistant is a prototype of a robot system that moves independently in three dimensions and can identify objects, grip adaptively and work together with humans.

The entire system, which has been developed in collaboration with ETH Zurich, has a modular design and consists of three subsystems: a mobile robot, an electric robot arm and the BionicSoftHand 2.0. The pneumatic gripper, which was first presented by Festo in 2019, is inspired by the human hand.

BionicSoftHand 2.0: based on the human hand

The human hand – with its unique combination of force, dexterity and fine motor skills – is a true miracle of nature. To enable the BionicSoftHand 2.0 to carry out the movements of the human hand realistically, compact valve technology, sensors, electronics and mechanical components are integrated in the tightest of spaces. The fingers and the opposable thumb are made up of flexible bellows structures with air chambers, surrounded by a firm yet yielding knitted fabric. This makes the hand light, adaptive and sensitive, yet capable of exerting strong forces. The pneumatic fingers are actuated by a compact valve terminal with piezo valves, mounted directly on the hand.

Further development of the BionicSoftHand with optimised action radius

In order to extend the manoeuvrability of the thumb and index finger compared with the first version of the BionicSoftHand, the developers greatly increased the lateral swivel range of both fingers. As a result, they now work well together and grip with great precision. Thanks to a 3D-printed wrist with two degrees of freedom, the hand can also move both back and forth as well as to the left and to the right. This means that gripping with a tight radius is also possible.

Gripper with sensitive fingers

To increase the stability of the fingers, the air chambers now each contain two structural elements that act as bones. For each finger, a bending sensor with two segments determines the positions of the fingertips. The hand also wears a glove with tactile force sensors on the fingertips, the palm and the outer sides of the robot hand. This allows it to sense the nature of the item to be gripped, and to adapt its gripping force to the particular item – just as people do.

Object detection using a neural network

In addition to the tactile sensors, the hand has a depth camera on the inside of the wrist so it can visually detect the objects. Using it, the robot hand can detect and grip a range of objects, even if these are partially covered. Once the hand has been correctly trained, it can use the collected data to assess the objects and distinguish good from bad, for example. The information is processed by a neural network, which has been trained in advance with the aid of data augmentation.

Mobile robot application with electric arm

The BionicSoftHand 2.0 is combined with a mobile ballbot and a lightweight, electric robot arm – the DynaArm. The DynaArm can carry out fast and dynamic movements thanks to its lightweight design with highly integrated drive modules that weigh just one kilo.

Mobile use and stand-alone energy supply

For the ballbot, the developers chose a sophisticated drive concept: the robot balances on a ball. This means that the BionicMobileAssistant can move freely in all directions. All the system’s energy supply is on board: the battery for the arm and robot is located in the body; the compressed air cartridge for the pneumatic hand is installed in the upper arm. The robot is thus not only mobile, but can also work autonomously. The algorithms stored on the master computer also control the system’s autonomous movements. The robot orients itself independently in three dimensions using two cameras.

Diverse range of application options

The system would be perfect for use as a direct assistant for people, for example as a service robot, as a helping hand in assembly or to assist workers in carrying out ergonomically strenuous or monotonous tasks.

It could also be used in environments where people cannot work because of hazards or restricted accessibility. This could include maintenance or repair work, data measurements or visual inspections. It is also possible to imagine mobile robots carrying out the simplest of tasks in areas where there is an increased risk of infection or which staff cannot access due to infections. For example, a possible scenario in the future could be a robot bringing drinks and food to the table in restaurants or delivering medicines to hospital patients or people requiring care in old people’s homes.

Hand in hand with people

Thanks to the modular concept, the BionicSoftHand 2.0 can also be quickly mounted on other robot arms and is easy to commission. Combined with the BionicCobot or the BionicSoftArm, both also bionic concepts from Festo, the gripper can, for example, form a completely pneumatic robot system that can work hand in hand with people thanks to its inherent flexibility and compliance.

 

 

 

费斯托 (Festo)是一家全球性的独立的家族企业,总部位于德国埃斯林根。自成立以来,Festo在工业自动化技术和技术教育方面制定标准,从而为环境、经济和社会的可持续发展做出贡献。公司为超过35个行业的30万家工厂和过程自动化客户提供气动和电驱动自动化技术解决方案,其中生命科学和实验室自动化业务受到越来越多的关注。Festo产品和服务遍布176个国家。2022年,费斯托在全球61个国家的250多个分支机构拥有约20800名员工,实现销售额38.1亿欧元。每年约7%的销售额用于研发。在这家学习型企业,1.5%的销售额用于基础和进一步培训。Festo 教学培训 (Didactic SE) 是全球领先的技术教育和培训供应商,为全球客户提供工业环境中全面的数字化和常规学习解决方案。

© Festo SE & Co. KG
BionicMobileAssistant 1
The robot balances on a ball, which means that the BionicMobileAssistant can move freely in all directions.
© Festo SE & Co. KG
BionicMobileAssistant 2
The information is processed by a neural network, which has been trained in advance with the aid of data augmentation.
© Festo SE & Co. KG
BionicMobileAssistant 3
The SoftHand 2.0 can sense the nature of the item to be gripped and adapt its gripping force to the particular item – just as people do.
© Festo SE & Co. KG
BionicMobileAssistant 4
Using the camera images, the robot hand can detect and grip a range of objects even if these are partially covered, for example an apple obscured by leaves.
© Festo SE & Co. KG
BionicMobileAssistant 5
There is a depth camera on the inside of the wrist for visual detection of the objects.

新闻视频

2020/07/01
BionicMobileAssistant
The mobile robot system can recognize objects, grasp them adaptively and work together with humans.

全球联络人

分享新闻稿