• 01/16/2023
  • Reading time 3 min.

MIRMI researchers find solution in centuries-old equation

Turning robots into skilled waiters

Researchers at the Munich Institute of Robotics and Machine intelligence (MIRMI) at the Technical University of Munich (TUM) have developed a model that enables a robot to serve tea and coffee faster and more safely than humans – with no sloshing. The mathematics behind the pendulum used in the concept is more than 300 years old.

Wolfgang Maria Weber / TUM
Dr. Luis Figueredo demonstriert, wie ein Roboterarm ein mit Wasser gefülltes Glas transportiert.

Can a robot be a better waiter than a human being? To answer this question, Dr. Luis Figueredo, senior scientist in the team of Prof. Sami Haddadin, sets up a robotic arm from the specialized robot maker Franka Emika on a table and hooks up a computer. The robot’s hand grips a glass filled to the brim with water, raises it and rocks it back and forth without spilling a drop. “And it does it faster and more safely than a person,” says the scientist from the Munich Institute of Robotics and Machine Intelligence (MIRMI) of TUM.

Copying the motion of the Moroccan tea tray

How does it work? The team simply fed the robot with algebraic formulas dating back several centuries. They based their mathematics on a Moroccan tea tray that applies the principle of a spherical pendulum. With doctoral candidate Riddhiman Laha and masters student Rafael I. Cabral Muchacho, Figueredo embeds the dynamics of a spherical pendulum into the robot’s control software. That also means that the robot’s movements are limited by the basic principles of geometry. With his team, he also integrates the correct angles, speeds and accelerations into the model. “When you understand how a pendulum moves and know how it works, it is suddenly quite simple,” says Figueredo.

The mathematics of a pendulum: a simple solution to a complex problem

The science of “slosh-free movement” is a complex field. “Most approaches have focused mainly on limiting acceleration to keep the sloshing of liquids under control. Or they have worked with fluid dynamics to calculate how these substances behave in order to predict the trajectories,” explains Figueredo: “That takes at least a few minutes, if not hours, and the result is still uncertain.”

Applications in healthcare and the transport of hazardous liquids

As a practical application, the scientists initially envision innovative robotic support for elderly people and those requiring nursing care. “But industries involved in the transport of materials posing biological and chemical hazards would probably be interested in a solution like this, too” says Figueredo. Safety remains a critical point: a robot should ideally be capable of recognizing dangerous situations. “For that we need better perception,” says Figueredo. Sensors would then enable the machine not only to recognize people, but also to predict their movements. That is the only way to completely rule out collisions with the robot. So far the robot is working with “tactile sensors” as a safety mechanism. In the current slosh-free mode, the robot arm instantly retracts when it senses the collision, but also keeps the liquid safe.

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„A Real-Time Optimization Solution to Slosh-free Robot Trajectory Optimization“, International Conference of Intelligent Robots and Systems (IROS), 2022

Further information and links

With the Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM has established an integrative research center for science and technology to develop innovative and sustainable solutions for the central challenges of our time. The institute has leading expertise in central fields of robotics, perception and artificial intelligence. Under the key research and application initiative “Future of Health”, researchers are working on machine learning topics in medicine, data mining and analysis, virtual and augmented reality, robot sensory systems, safe human/robot interactions (HRI), and the design and control of soft-body robots. More information: https://www.mirmi.tum.de/.

Contacts to this article:

Research contact:

Munich Institute of Robotic and Machine Intelligence (MIRMI)

Technical University of Munich (TUM)

Dr. Luis Figueredo

Luis.figueredospam prevention@tum.de

Corporate Communications Center contact:

Andreas Schmitz

Press officer, Robotics and Machine Intelligence

Email: presse@tum.de 



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