Origami-inspired robotic plants grow with their environment

How do you deploy an environmental sensor to collect climate change readings over a prolonged period on an uninhabited island without failing? How do you power a seismic detector to operate for months in an underwater cave?  

In environments that are difficult to reach because of the hazards or hardships for humans, a device behaving like a native plant could be the answer. This is the approach taken by Suyi Li, associate professor in mechanical engineering at Virginia Tech, and Clemson professor and collaborator Ian Walker. Their work is being advanced thanks to a four-year, $840,000 grant from the National Science Foundation. 

“When I started to venture into robotics a few years ago, I was surprised to see that almost all robots are inspired by humans and animals to some degree,” Li said. “However, I believe the vast plant kingdom can offer us many unique lessons on approaching the design, actuation, and operation of robots.  This is how Ian and I started working on this topic together. “ 

Li has established a research group that deploys the principles of origami to create novel forms of soft robotics with unique structures. Walker, a professor of electrical and computer engineering at Clemson, brings a rich background in biologically inspired robotics spanning two decades. Their proposal aims to create a broad foundation for new designs, creating robotics with technology capable of surviving in wild conditions over the long haul. 

Robots in the wild 

Bringing together cutting-edge electronics with the unpredictability of nature is typically a clash of worlds. Technology can be a strength when electricity is available, and the environment is predictable or controlled. Those measures break down when batteries die and parts break. 

This has not prevented technology from making its way into the outdoors, but challenges have followed. Other researchers recently deployed sensors for wildfire detection in remote locations of California and Oregon, but have faced issues such as navigating rocky areas at high altitudes and the particulars of protected lands.  

Devices that need to be always on and programmed to detect such things as airborne particles or rare breeds of birds generally face two big obstacles: time and environment. These are the main challenges Li’s team is tackling. The aim isn’t to fight against the flow of nature, but to channel the very approach used by nature to produce more adaptive robotics. 

“As humans, we naturally tend to think of change on the time scale of our attention span, like seconds and minutes,” Walker said. “However, long-term and continuous deployments outdoors pose alternative and unique challenges. Over weeks and months, outdoor natural environments are highly dynamic places. Vegetation grows up and debris comes down in storms. Robotic operation in these conditions needs to become more like the ambient environment in novel ways to maintain monitoring.” 

Robots that grow and adapt 

Li and Walker will not be creating robot plants or making sensors that grow from seeds. Instead, their work will take advantage of the insights provided by nature that have proven to be durable over the long term. Those natural mechanisms will be converted into mechanics that adapt and respond to their environments. 

Which characteristics of plants are on their radar? They have targeted the ability to move with the sun, shown in the behavior of sunflowers. Also of interest are floral organs that open and close, like a venus flytrap. They also have taken notes from plants that attach to an object adaptively, like the winding of vines around a tree. All of these actions are the result of a plant adapting to its surroundings, and each has a set of mechanisms that make the action possible. Some of the actions are faster, like the flytrap. Some are slower, like the steady coil of vines.

To put these characteristics together into robotics, Li and Walker have combined their efforts to mimic those plant behaviors and package them as a set of innovative robotics. 

Li’s team will use its expertise in engineering through origami to create accordion-like robotic trunks that can unfold and self-lock, pairing it with Walker’s knowledge of bio-inspired electronics to create a container that is durable and capable of responding to the dynamics of an outdoor environment. This trunk would have the ability to adapt within congested spaces that may form as foliage grows and becomes thick. Adapting in this way has the potential to overcome obstacles that might normally shut down a robot’s operation. 

To sense the movement of the environment, Li and Walker foresee using the model of tree leaves and needles to guide their design. These extensions will be outfitted with devices that guide the operation and “growing” action, feeding information about real-time changes into the electronics contained in the trunk to tell the robot how to adapt. These might include elements such as light sensors, taking a cue from sunflowers. Bio-inspired needles could also interact with their environment to push aside foliage that interferes with environmental monitoring. 

“Nature provides a huge variety of existence proofs for how robotics structures might be designed and operate,” Walker said. “In particular, characteristics of plant behavior give insight into how systems can successfully adapt and thrive in the natural environment.”  

Supplying power to electronics is critical as robots can’t function on dead batteries, but maintaining an electric source is difficult in places that are hard for humans to reach. Because of that necessity, energy harvesting that mimics real plants can keep powering a robot and prevent it from missing crucial data where changing batteries isn’t an option. Li and Walker’s team is doing preliminary work into the methods needed to power their robotics, building on its early work that also includes energy efficiency. By using novel harvesting approaches with a light diet of energy consumption, researchers can tackle the challenge of keeping a robot running over long periods of time, which is important when deploying sensors in areas that are unpredictable, inhospitable, or remote. 

The approach for each plant-inspired robot also will be tuned to the length of time over which it will operate. Li and Walker’s approach for a robot that measures long-term pollution levels over months or years, for instance, will be different than that of a robot tasked with rare animal sightings over days or weeks. 

Eventually, the group hopes to build a new breed of robots that can adapt to and protect our environment over months and years, monitoring slow-changing processes like temperature and humidity as well as rapidly occurring events like wildfire outbreaks.  

“When monitoring city environments, having static devices is not a problem because the environment is controlled,” Li said. “But in areas like coral reefs or forests with dynamic and volatile surroundings, having a robotic plant that can grow and adapt with its environment instead of needing to be replaced and moved by humans will revolutionize how we are able to study and monitor remote regions.”