Robots today need motivation, so we designed a set of motivational posters to help

Science fiction has a legacy of robots struggling to be more like humans. Think of Data, Asimov’s R. Daneel Olivaw, Bladerunner’s Nexus 6 model, or The Iron Giant (sob).

There is also a recurring theme of robots striving to be their best, and motivating other robots to progress to the next stage of their evolution. Sometimes they do it purely for sake of robotkind, but primarily their interest is in better assisting their human companions. Recall the more-advanced EVE encouraging WALL-E to expand his abilities, or the pedantic C-3PO lecturing R2-D2.

On present-day, real-world Earth, robotics is on the cusp of major breakthroughs. The last 50 years have seen robots advance from mere curiosities to reliable companions. They are about to be ubiquitous.

Even so, our most advanced robots spend their days at MIT, Georgia Tech and other universities, sitting quietly and staring at laboratory walls while roboticists figure out the final frontiers of programming, materials development and systems challenges.

Which begs the question: Why not throw some robot motivational posters up on those walls?

Motivational posters were in nearly every office in the 1980s and 1990s. And countless, faded spinoffs remain in conference rooms everywhere. Though they were perhaps most effective at motivating Gen Xers to create brilliant demotivational posters, they probably did inspire a future CEO or two.

As any YouTube user knows, today’s robotics research challenges run the gamut from mobility to natural language processing to power storage issues. If you feel dumb pushing on a door when you should be pulling, just remember how hard it is for a robot to turn a doorknob. It’s difficult not to cheer them on, especially when success means robots that safely drive us to work and help prevent future disasters.

Motivational posters for a new generation of robots is exactly what today’s robots need. Machine age inspiration: Gen R starts now.


Roboticists often look to the animal kingdom for inspiration in robot design. Stickybot is a classic example.

About a decade ago, NSF-funded researchers discovered geckos use a phenomenon called directional adhesion to stick to walls. To create a better climbing robot, engineers created an adhesive material that mimics the gecko’s foot pads, which are covered with tiny hairs. Stickybot can cling to smooth surfaces with ease thanks to this directional-adhesive material.


Not all Disney characters are fantasy. The soft robot Baymax in the animated movie “Big Hero 6” is based on real technology funded by NSF.

Robots made from soft materials, such as balloons or fabrics, are excellent assistants for people — especially the elderly, disabled or young. Researchers at the NSF-funded Quality of Life Technology Center are creating soft robot technologies that weigh less and are less likely to injure a person than metal in an unexpected person-to-robot encounter.


Durable, fast-learning robots that can help with household duties — from clearing the dinner table to sorting laundry by color — would be incredibly welcome family additions. The challenge is creating robots that don’t require trained roboticists to program them.

Simon, a robot developed at Georgia Tech by NSF-funded researchers, is one of many robots involved in projects that are redefining how robots and humans interact. For future robots to be more efficient communicators and learners, they need to think like first-time users. So, when Simon says to let him clear your dishes, let him do it.


Nothing is more of a drag than an electrical cord or a heavy battery backpack.

To fly, swim and roam freely, robots need steady sources of power, which means jamming more energy into small spaces. But current energy storage technologies are limited, so researchers are coming up with creative ways to extend robotic operations. For instance, NSF-funded roboticists recently demonstrated that their flying microrobots, nicknamed the RoboBees, can now perch during flight to save energy, as bats, birds or butterflies do.


If a roboticist shoves a robot, does anyone care? Yes, it turns out everyone does. But what looks like bullying are actually tests to help robots stand up on their own.

Studies of robot balance and locomotion are historically challenging due to stability, power and leg complexities. Even so, robots such as MABEL at the University of Michigan have learned to run quite gracefully, and autonomous machines are increasingly able to navigate even the most treacherous and unpredictable terrain.


Limitless ink and electrons have been spent in discussing the challenges of person-to-person communication. Imagine the issues inherent in person-to-robot communication.

Natural language processing involves the design and application of algorithms that analyze human language. Such research produces valuable software tools for translation, text mining, question answering, and information extraction.

Doing this could help with certain tasks that people cannot do easily, such as extracting information out of large collections, according to an NSF-funded researcher Carnegie Mellon University. It would also help avoid a future rife with the crushing isolation that comes from your robot friend misinterpreting a nonstandard pronunciation of potato.


For all computers have done to fulfill our technological vision, computer vision itself remains a major challenge. Computers can record and analyze every pixel of a digital picture, but the accurate identification of objects in a picture or real life is tricky.

NSF-funded engineers at Johns Hopkins University are developing mathematical formulas to help machines discern objects as seemingly simple as chairs. If an object has four legs, does that make it a chair? Or is it a dog? Such confusions can lead to awkwardness, as anyone who has used Facebook’s facial recognition software knows.


If the future means a robot for every use, what happens to those robots when their usefulness comes to an inevitable end?

To avoid landfills brimming with bots, NSF-funded researchers at MIT are developing robots based on the principles of origami that not only fold, walk and swim, but also swiftly degrade when placed in a specific solution. Taking sustainability into account when designing the next generation of robots means making the best use of limited resources.


For robots, development of both physical gentleness and emotional fortitude are important.

Robots never tire of cuddling or reading the same story 100 times. For this reason and more, robots are on their way to becoming effective and engaging teaching companions. For instance, a robot supported by an NSF Expeditions in Computing award in socially assistive robots was designed to engage children as a peer, not as a teacher. The robot utilized the social, interactive nature of language learning through a storytelling game that could be played together.


Social insects such as bees that collectively and efficiently forage for food, transport large objects, and coordinate nest building often have an advantage over solitary creatures.

Robots that work in unison can have the same advantage. NSF-funded computer scientists and engineers at Harvard University demonstrated this with quarter-sized, bug-like Kilobots that can interact and coordinate their own behavior as a team — a skill that will make it easier for researchers to test collective algorithms on hundreds or even thousands of tiny robots.


Download these posters and share them with the hashtag #GenerationR to help motivate the next generation of robots.