Nature, particularly humans and other animals, has always been among the primary sources of inspiration for roboticists. In fact, most existing robots physically resemble specific animals and/or are engineered to tackle tasks by emulating the actions, movements and behaviors of specific species.
You might have noticed that humanoid robots are having a bit of a moment. From Tesla's Optimus to Figure AI's Figure 02, these machines are no longer just science fiction—they're walking, and in some cases, cartwheeling into the real world.
In a world where automation is advancing by leaps and bounds, collaboration between robots is no longer science fiction. Imagine a warehouse where dozens of machines transport goods without colliding, a restaurant where robots serve dishes to the correct tables, or a factory where robot teams instantly adjust their tasks according to demand.
Most existing robots designed to move on the ground rely on either wheels or legs, as opposed to a combination of the two. Yet robots that can seamlessly switch between wheeled and legged locomotion could be highly advantageous, as they could move more efficiently on a wider range of terrains, which could in turn contribute to the successful completion of missions.
When designing new robots, engineers often look to nature for inspiration. They base their robots on the designs and behaviors of snakes, fish, humans, and more, such as sea slugs, whose feeding behaviors have been studied in recent research by the Carnegie Mellon University Biohybrid and Organic Robotics group under the direction of Vickie Webster-Wood, associate professor of mechanical engineering.
A new AI-powered tool created by researchers at Carnegie Mellon University's School of Computer Science could change the way we manufacture and build things.
Science frequently draws inspiration from the natural world. After all, nature has had billions of years to perfect its systems and processes. Taking their cue from mollusk catch muscles, researchers have developed a low-voltage, muscle-like actuator that can help insect-scale soft robots to crawl, swim and jump autonomously in real-world settings. Their work solves a long-standing challenge in soft robotics: enabling tiny robots to move on their own without sacrificing power or precision.
To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional approaches to enhancing the ability of robots to grasp objects work by tightening the grip of a robotic hand to prevent objects from slipping.
Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required expert knowledge and time-consuming calibration.
Animals like bats, whales and insects have long used acoustic signals for communication and navigation. Now, an international team of scientists has taken a page from nature's playbook to model micro-sized robots that use sound waves to coordinate into large swarms that exhibit intelligent-like behavior.
Watch Boston Dynamics' Atlas robot doing training routines, or the latest humanoids from Figure loading a washing machine, and it's easy to believe the robot revolution is here. From the outside, it seems the only remaining challenge is perfecting the AI (artificial intelligence) software to enable these machines to handle real-life environments.
Give robots a specific job—say, placing a can on a conveyor belt in a factory—and they can be extremely efficient. But in less-structured environments with varied tasks, even seemingly simple things like unscrewing a light bulb or turning a door handle, things get a lot trickier.
From a seed-inspired design to a 26-minute flight time on a single rotor, a new monocopter developed by SUTD researchers marks a 10-year journey towards redefining how efficient small flying robots can be.
Humanoid robots, robots with a human-like body structure, have so far been primarily tested on manual tasks that entail supporting humans in their daily activities, such as carrying objects, collecting samples in hazardous environments, supporting older adults or acting as physical therapy assistants. In contrast, their potential for completing expressive physical tasks rooted in creative disciplines, such as playing an instrument or participating in performance arts, remains largely unexplored.
Mechanical engineering researchers at the UCLA Samueli School of Engineering have designed a mattress that helps prevent bedsores by alternating pressure across the body and, at times, increasing peak pressure rather than reducing it to restore blood flow.