Wandelbots, a two week old German Start up, has accomplished a great deal since it’s inception. The company aims to solve key problems in robotics, using wearable technology, which has been developed through two years of research designing adaptive software systems.
The first product is a suit that a person can wear that uses sensors to translate actions, which are then replicated by Robots. It’s basic premise is to allow robots to learn what they need to do without the need for programming.
Other projects have also used vision based systems similar to motion capture, which can then teach to other robots. The difference is that Wandelbots uses the information related by built in 9-axis sensors within the suits, which transmit magnometer, orientation and large amounts of other data to the computer which then models the operator’s behaviour.
The system can learn through repeating instructions, improving it’s model of overall motion through successive observation. This recorded movement is then refined by a human engineer, tweaking it to ensure that it is properly designed for use by a robot instead of a human.
Although there is still human programming involved, Christian Piechnick, Co-founder of Wandelbots stated that the typical robotics process required around $50,000 and a significant span of time for each new task you want the robot to perform. In comparison, Wandelbots estimates that it can achieve the same thing upto 20 times faster and upto 20 times cheaper.
Wandelbots is currently working with several larger customers, including one of the largest whiteware robotics software suppliers in China. They are also in discussions with a major Original Equipment Manufacturer to potentially ship hardware with support for their platform built-in next year.
Wandelbot is expecting to have a commercially ready product available by the end of 2018, says Piechnick. It’s a potentially transformative technology which can greatly accelerate the use of industrial and commercial robots, which means speeding up overall manufacturing automation.
Robotics News, December 4