A robot developed by researchers can easily move forward or backward in a wave-like motion and can easily swim or crawl through unstable terrain like sand, grass and gravel – all using just one motor.
The researchers at Ben-Gurion University of the Negev in Israel have created ‘Single Actuator Wave-like robot’ (SAW), using 3D-printed parts.
"Researchers all over the world have been trying to create a wave movement for 90 years," said one of the researchers David Zarrouk from Ben-Gurion University of the Negev (BGU) in Israel.
"We succeeded by finding a simple, unique solution that enables the robot to be built in different sizes for different purposes. For example, it can be scaled up for search and rescue and maintenance, or miniaturised to a diametre of one centimetre or less to travel within the human body for medical purposes, such as imaging and biopsies of the digestive system," Zarrouk explained.
The first single actuator wave-like robot (SAW) moves much like a worm would in a perpendicular wave.
Its minimalistic mechanical design produces an advancing sine wave with a large amplitude, using only a single motor with no internal straight spine, described a paper published in the journal Bioinspiration & Biomimetics.
The robot can crawl through unstable terrain like sand, reaching a top speed of 57 centimetres per second.
The robot's innovative wave movement also enables it to climb through tunnels at a rate of eight centimetres per second when touching both sides. A waterproof version can swim at six centimetres per second, the researchers said.
By adding spiny traction enhancers to each link, the team was able to propel the robot 13 per cent faster than its own wave speed.
The robot is easy to manufacture, strong, reliable, and energy efficient, which enables long-distance travel, Zarrouk said.
"I believe it will be useful for travelling through the intestine for imaging and biopsies, and for infiltrating problematic, complex security areas, such as tunnels, destroyed buildings and pipes," Zarrouk noted.
(With agency inputs)
