Utilizing soft, flexible materials such as cloth, paper, and silicone, soft robotic grippers act like a robot's hand to perform functions such as safely grasping and releasing objects. Unlike conventional rigid material grippers, they are more flexible and safe, and are being researched for household robots that handle fragile objects such as eggs, or for logistics robots that need to carry various types of objects. However, its low load capacity makes it difficult to lift heavy objects, and its poor grasping stability makes it easy to lose the object even under mild external impact.
Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.
Robots are often found in very controlled, indoor environments because, unlike in a natural environment, there are no tripping hazards to overcome. However, in order to perform important tasks like environmental monitoring or search and rescue, robots must be able to navigate through branches and vines without getting tied up.
Someday, when quakes, fires, and floods strike, the first responders might be packs of robotic rescue dogs rushing in to help stranded souls. These battery-powered quadrupeds would use computer vision to size up obstacles and employ doglike agility skills to get past them.
Insect cyborgs may sound like science fiction, but they're a relatively new development that uses electrical stimuli to control the movement of insects. These hybrid insect computer robots, as they are scientifically called, herald the future of small, highly mobile and efficient devices.
Robots built by engineers at the University of California San Diego helped achieve a major breakthrough in understanding how insect flight evolved, as described in the journal Nature. The study is a result of a six-year long collaboration between roboticists at UC San Diego and biophysicists at the Georgia Institute of Technology.
Domestic work is vital for society to function. Meals need to be cooked, clothes and homes cleaned, and people need to be cared for. These tasks take time and, generally speaking, are not shared equally within households.
Imagine grasping a heavy object, like a pipe wrench, with one hand. You would likely grab the wrench using your entire fingers, not just your fingertips. Sensory receptors in your skin, which run along the entire length of each finger, would send information to your brain about the tool you are grasping.
Pulling inspiration from the natural world, researchers at Colorado State University have developed a trio of robots that can morph their bodies and legs as needed to better crawl, shimmy or swim over difficult terrain.
A team led by Northwestern University researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch.
A robot rushes down a busy hospital corridor dodging random foot traffic. With a subtle gesture from a care provider, the robot enters a room and hands over drugs to a waiting bedside nurse.
Researchers have designed a robot which can change form to tackle varying scenarios.
With the rapid-paced rise of AI in everyday life, nothing, not even the traditional farmer, is untouched by the technology.
A team of mechanical engineers at Chung-Ang University in South Korea has developed an exosuit that can help runners cover short distances faster. Their project is reported in the journal Science Robotics.
Small mobile robots carrying sensors could perform tasks like catching gas leaks or tracking warehouse inventory. But moving robots demands a lot of energy, and batteries, the typical power source, limit lifetime and raise environmental concerns. Researchers have explored various alternatives: affixing sensors to insects, keeping charging mats nearby, or powering the robots with lasers. Each has drawbacks: Insects roam, chargers limit range, and lasers can burn people's eyes.