If faced with the choice of sending a swarm of full-sized, distinct robots to space, or a large crew of smaller robotic modules, you might want to enlist the latter. Modular robots, like those depicted in films such as "Big Hero 6," hold a special type of promise for their self-assembling and reconfiguring abilities. But for all of the ambitious desire for fast, reliable deployment in domains extending to space exploration, search and rescue, and shape-shifting, modular robots built to date are still a little clunky. They're typically built from a menagerie of large, expensive motors to facilitate movement, calling for a much-needed focus on more scalable architectures—both up in quantity and down in size.
Socially assistive robots (SARS) are a class of robotic systems specifically designed to help vulnerable or older users to complete everyday activities. In addition to increasing their independence, these robots could stimulate users mentally and offer basic emotional support.
To interact with elements in the virtual world, common VR headsets usually come with controllers. Users hold these in their hands as they interact with all elements of the virtual user interface. However, the controllers usually do not feel like they look in virtual space. This reduces immersion, i.e., the feeling of how realistic the VR world is perceived.
At Arla's dairy in Taulov, Denmark, apron-clad dairy workers have been joined by a shiny silver and red-eyed colleague—a robot that helps them produce delicious Danish Havarti, Danbo and Maribo cheeses.
A team of researchers at University of California, Los Angeles (UCLA)'s Center for Vision, Cognition, Learning, and Autonomy (VCLA), led by Prof. Song-Chun Zhu, recently developed an approach that could help to align a human user's assessment of what a robot can do with its true capabilities. This approach, presented in a paper published in IEEE Robotics and Automation Letters, is based on a new algorithm that simultaneously optimizes the physical cost and expressiveness of a robot's motion, to determine how well human observers would estimate its reachable workspace.
Developing robots inspired by animals and other biological systems has become a key research focus for many roboticists worldwide. By artificially reproducing biological mechanisms, these robots could help to automate complex real-world tasks in efficient and reliable ways.
Robots have helped humans in countless work environments to a point that the latter—in some cases—developed strong emotional bonds with them.
Researchers have developed self-healing, biodegradable, 3D-printed materials that could be used in the development of realistic artificial hands and other soft robotics applications.
In recent years, scientists have introduced a wide variety of robots of all shapes and sizes. Among these are microswimmers, carefully engineered microstructures that can move in water and other liquids.
A figure skater framed only by ragged ice gazes up, almost beseechingly. A goaltender sprawls inside a net, defeat written all over his limbs, even with his face obscured.
Researchers from the RIKEN Guardian Robot Project in Japan have made an android child named Nikola that successfully conveys six basic emotions. The new study, published in Frontiers in Psychology, tested how well people could identify six facial expressions—happiness, sadness, fear, anger, surprise, and disgust—which were generated by moving "muscles" in Nikola's face. This is the first time that the quality of android-expressed emotion has been tested and verified for these six emotions.
A recently published study has found that users of unmanned aircraft, also known as drones, need to take a more holistic approach to identifying and mitigating potential risks before undertaking a flight.
A new robotic sensor that mimics the automatic human reaction to heat is being hailed as a world first.
Lethal autonomous weapons systems demand careful consideration but nightmare scenarios of the future won't become reality anytime soon, says a UNSW Canberra military ethicist.
Nearly 10 years ago, local mushroom farmer Murray Good approached engineering professor Mehrdad R. Kermani with a challenge. Could Kermani and his team develop an autonomous mushroom harvesting robot to address the labor shortage Good and mushroom farmers around the world were facing?