Meet Tribar, a robot that can jump off a cliff and keep moving

Publicly released:
International
Johnson et al., Nature Machine Intelligence.
Johnson et al., Nature Machine Intelligence.

International researchers have designed a rough terrain robot that can survive a fall off a cliff, which they hope could be used in challenging disaster zones or even on other planets. Named Tribar, the robot is a type called a tensegrity robot - made of three lightweight bars covered in a network of elastic cables to better handle impacts. The researchers say Tribar can move across grass, ice, pebbles and sand and up a 28-degree incline. They say Tribar has also survived the highest recorded drop for a robot of its kind - falling 5.7 metres off a bridge onto asphalt and continuing to move.

News release

From: Springer Nature

Technology: This robot can take a tumble

A rolling robot called Tribar that can survive high-impact landings and continue moving across rough terrain is reported in Nature Machine Intelligence. The findings could support the development of robots for hazardous or remote environments, including planetary surfaces and disaster zones.

Tensegrity robots are made from rigid struts suspended in a network of elastic cables, which gives them flexible, lightweight structures that can absorb large external loads. They have been proposed as future planetary rovers and disaster-response platforms. However, developing an autonomous robot that can both survive a severe impact and function afterwards has been challenging.

Rebecca Kramer-Bottiglio and colleagues present Tribar, a three-bar tensegrity robot designed to combine impact resistance with autonomous control. The robot uses stretchable sensor tendons and on-board motion sensors to estimate its shape and orientation. The authors tested its movement across grass, ice, pebbles and sand, up inclines of up to 28 degrees, and along straight, curved, and triangular paths. It also survived a 5.7 metre drop from a bridge onto asphalt — described by the authors as the highest recorded drop for a tensegrity robot — and continued moving afterwards.

The authors suggest that this combination of impact resistance, sensing, and control could help future robots navigate environments that are inaccessible for conventional robots, such as cliffs, craters, or disaster areas. They suggest this design can serve as a benchmark for further development of high-survivability robots.

Multimedia

Large cliff
Impact resistance
Locomotion after rolling off cliff
Multi-terrain locomotion
Inclines and declines
Autonomous limbo

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Research Springer Nature, Web page The URL will go live after the embargo ends
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conference:
Nature Machine Intelligence
Research:Paper
Organisation/s: Yale University, USA, Princeton University, USA
Funder: W.R.J., X.H., J.W.B. and R.K.B. were supported by the National Science Foundation (NSF) under grant no. IIS-1955225. S.L., K.W. and K.E.B. were supported by the NSF under award IIS-1956027. We thank F. Butler and the staff at the Ingalls Rink for the generous use of their ice for the multiterrain experiments. In addition, we thank J. Campbell, S. O’Grady, S. Woodman, L. Ramirez, M. Li and C. Le for their assistance with the large cliff experiments in East Rock Park.
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