EU-funded researchers are demonstrating revolutionary robotic techniques inspired by plants, featuring a 3D-printed ‘trunk’, ‘leaves’ that sense the environment and ‘roots’ that grow and change direction.
What can we learn from nature, and how can these insights be transferred to automation technology? At the 2014 International Press Conference in Esslingen, Festo is presenting the BionicKangaroo – a project from the Bionic Learning Network, which addresses aspects of future production.
Computer scientists have created a low-cost, autonomous micro-robot which in large numbers can replicate the behaviour of swarming honeybees
North Carolina State University researchers have developed methods for electronically manipulating the flight muscles of moths and for monitoring the electrical signals moths use to control those muscles. The work opens the door to the development of remotely-controlled moths, or “biobots,” for use in emergency response.
An engineer at the University of Liverpool has found how worms move around, despite not having a brain to communicate with the body.
A quantitative analysis of hummingbird wings shows that they generate lift more efficiently than the best micro-helicopter blades. The findings could lead to more powerful, bird-inspired robotic vehicles.
Twisting a screwdriver, removing a bottle cap, and peeling a banana are just a few simple tasks that are tricky to pull off single-handedly. Now a new wrist-mounted robot can provide a helping hand — or rather, fingers.
The companies that get an early foothold in the snake robot market have significant strategic advantage. The robotic snake leverages a new technique for robotic movement that benefits users by providing efficient access to difficult spaces.
The balancing strategy to lateral impact in a rat is closely related to the striked position of the body. The research result can be inspired to improve the robustness of bionic robot. This was found by Dr. JI Aihong and his group from Institute of Bio-inspired Structure and Surface Engineering, Nanjing University of Aeronautics and Astronautics.
The future fields of the displayed projects from the Festo Bionic Learning Network include research activities focused on the topics of energy recovery, new drive concepts and adaptive systems, as well as functional integration and modularity. In this respect, the focus is on a holistic approach on the way to the production of the future. Fundamental technologies for networked overall systems and the interaction of man and machine are highly pertinent here.
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