A team of engineers from several institutions in South Korea has developed a type of wheel with spokes that can be adjusted in real time to conform the wheel's shape to uneven terrain. In their paper published in the journal Science Robotics, the group describes the principles behind their wheel design and how well it worked in two- and four-wheeled test models.
Large language models (LLMs), such as OpenAI's ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.
The smaller carbon footprint, or wheel print, of automatic delivery robots can encourage consumers to use them when ordering food, according to a Washington State University study.
As global warming intensifies, people increasingly suffer from extreme heat. For those working in a high-temperature environment indoors or outdoors, keeping thermally comfortable becomes particularly crucial.
New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation. The study is published in 2024 IEEE International Conference on Robotics and Automation (ICRA).
Humanoid robots have long been a staple of science fiction, but there is now real progress being made. A range of new models made by or backed by the likes of Boston Dynamics, Tesla and OpenAI are able to walk and move like humans, as well as perform feats of agility and dexterity.
It looks a bit like a small lawnmower, but instead of dual handles, a single black pole with a tablet-sized screen attached rises from the machine.
A team of engineers at Google's DeepMind Project has demonstrated a robot capable of playing amateur-level table tennis (ping-pong). The team has published a paper on the arXiv preprint server describing how they developed the robot, how well it performed at different ability levels and how human players responded to playing with the robot.
Unmanned aerial vehicles (UAVs), commonly known as drones, are now used to capture images and carry out a wide range of missions in outdoor environments. While there are now several UAV designs with different advantages and characteristics, most conventional aerial robots are underactuated, meaning that they have fewer independent actuators than their degrees of freedom (DoF).
Picture this: hundreds of ant-sized robots climb over rubble, under rocks and between debris to inspect the damage of a fallen building before human rescuers explore on-site.
Someday, instead of large, expensive individual space satellites, teams of smaller satellites—known by scientists as a "swarm"—will work in collaboration, enabling greater accuracy, agility, and autonomy. Among the scientists working to make these teams a reality are researchers at Stanford University's Space Rendezvous Lab, who recently completed the first-ever in-orbit test of a prototype system able to navigate a swarm of satellites using only visual information shared through a wireless network.
Ukraine could soon unleash robot dogs on its front lines, replacing soldiers for perilous missions like spying on Russian trenches or detecting mines.
The phrase "practice makes perfect" is usually reserved for humans, but it's also a great maxim for robots newly deployed in unfamiliar environments.
Researchers working on large artificial intelligence models like ChatGPT have vast swaths of internet text, photos and videos to train systems. But roboticists training physical machines face barriers: Robot data is expensive, and because there aren't fleets of robots roaming the world at large, there simply isn't enough data easily available to make them perform well in dynamic environments, such as people's homes.
Elon Musk's recent announcement on Twitter that "Tesla will have genuinely useful humanoid robots in low production for Tesla internal use next year" suggests that robots that have physical human-like characteristics and provide "genuinely useful" function might be with us soon.