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Simple Linking of Units Gives Legged Robots New Way to Navigate Difficult Terrain

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At the opening ceremony of this summer’s Tokyo Olympics, a fleet of 1,824 drones flew above the stadium, illuminating the night with an environmentally friendly light show. Such displays of reconfigurable, floating lights have one important common factor: a crash- and stumble-free navigable area in which to perform. The success of robotic swarms in aerial, aquatic, and land-based environments can be attributed to ease of navigation in a homogenous or highly controlled space.

But, what about more complex terrain? The capability that would allow land-based search-and-rescue robot swarms to navigate buildings and other disaster areas does not yet exist. Researchers at the Georgia Institute of Technology are working to develop simple, low-cost, legged robots capable of linking and unlinking to accomplish tasks, such as gap traversal, stair climbing, and object transport over uneven terrains.

Working with Daniel Goldman, Dunn Family professor in the School of Physics at Georgia Tech, Yasemin Ozkan-Aydin, a former postdoc in Goldman’s lab and now an assistant professor at the University of Notre Dame, developed “quadruped” robots using easily acquired off-the-shelf technology. Each unit has a 3D-printed, two-segmented chassis and body, four flexible legs, a “passive tail” appendage for additional balance and directional control, touch and light sensors, and a central-body-mounted microprocessor. A magnetic connector allows for docking and cooperative behaviors. The research team recently published its work in Science Robotics.

Reconfigurable swarm robots have been used in prior research into terrain solutions. But these units have limited motive abilities, require human intervention, and lack the desired ease of scale-up for manufacturing and use in a timely and cost-effective manner.  

The new research takes advantage of enhanced mobility in multi-legged robots, mechanical intelligence (passive flexible legs and tail), and simple cooperative effect.  Individualrobots perform simple or small tasks, but if the task is beyond the capability of the one unit, a team of robots physically connect to each other and form a larger multi-legged system to collectively overcome issues.

Additionally, the team’s use of widely available technologies – like 3D printers – could lead to cost-effective and rapid development of terrestrial robotic teams that can collaboratively move heavy or dangerous objects. They could also be used for search-and-rescue operations, environmental monitoring, or even space exploration. 

Ozkan-Aydin sees the work as a starting point in the development of land-based robot swarms with the ability to climb hills, overcome obstacles, and move on rough terrain by maintaining stability in a truly autonomous fashion.

“The development of physical connection between individual robot units can improve the mobility of an entire terrestrial collective system, and help prevent failures when attempting a task,” said Ozkan-Aydin. “Furthermore, the minimalist and modular robotic approach taken in this study can provide a low-cost platform for testing or generating new hypotheses for biological research.”

“Self-reconfigurable multilegged robot swarms collectively accomplish challenging terradynamic tasks”, Ozkan-Aydin and Daniel I. Goldman, Science Robotics; 28 Jul 2021: Vol. 6, Issue 56, eabf1628, DOI: 10.1126/scirobotics.abf1628

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The Georgia Institute of Technology, or Georgia Tech, is a top 10 public research university developing leaders who advance technology and improve the human condition. The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees. Its nearly 40,000 students representing 50 states and 149 countries, study at the main campus in Atlanta, at campuses in France and China, and through distance and online learning. As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society.

 

VIDEO

See the robot in action here

 

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  • Workflow Status:Published
  • Created By:Jerry Grillo
  • Created:08/05/2021
  • Modified By:jhunt7
  • Modified:08/05/2021

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