A new University of Michigan study on how humans and robots work together on tasks with conflicting objectives is the first to demonstrate that trust and team performance improve when the robot actively adapts to the human's strategy.
When lower limb exoskeletons—mechanical structures worn on the leg—do not operate properly, some people adjust quickly while others compensate with their ankle or hip, expending more energy than necessary, according to a new study by University of Michigan researchers.
The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions—from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one. But understanding and reproducing softness perception is challenging because it involves so many sensory and cognitive processes.
Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot's body and that of its human user.
Odd things can happen when a wave meets a boundary. In the ocean, tsunami waves that are hardly noticeable in deep water can become quite large at the continental shelf and shore, as the waves slow and their mass moves upward.
Until recently, bespoke tailoring—clothing made to a customer's individual specifications—was the only way to have garments that provided the perfect fit for your physique. For most people, the cost of custom tailoring is prohibitive. However, the invention of active fibers and innovative knitting processes is changing the textile industry.
Schools of fish, colonies of bees, and murmurations of starlings exhibit swarming behavior in nature, flowing like a liquid in synchronized, shape-shifting coordination. Through the lens of fluid mechanics, swarming is of particular interest to physicists like Heinrich Jaeger, the University of Chicago Sewell Avery Distinguished Service Professor in Physics and the James Franck Institute, and James Franck Institute research staff scientist Baudouin Saintyves, who apply physics principles to the development of modular, adaptive robotics.
Before a robot can grab dishes off a shelf to set the table, it must ensure its gripper and arm won't crash into anything and potentially shatter the fine china. As part of its motion planning process, a robot typically runs "safety check" algorithms that verify its trajectory is collision-free.
In recent years, materials scientists and engineers have introduced increasingly sophisticated materials for robotic and prosthetic applications. This includes a wide range of electronic skins, or e-skins, designed to sense the surrounding environment and artificially reproduce the sense of touch.
Unmanned Aerial Vehicles (UAVs) have received significant attention in recent years across many sectors, such as military, agriculture, construction, and disaster management. These versatile machines offer remote access to hard-to-get or hazardous areas and excellent surveillance capabilities.
"Caution: robot!" chirps the green self-driving delivery vehicle as it trundles down the street to a pork cutlet restaurant in Tokyo to pick up a meal ordered on Uber Eats.
Scientists have developed a new robot that can 'mimic' the two-handed movements of care workers as they dress an individual.
ChatGPT-maker OpenAI is looking to fuse its artificial intelligence systems into the bodies of humanoid robots as part of a new deal with robotics startup Figure.
Hundreds of robots zip back and forth across the floor of a colossal robotic warehouse, grabbing items and delivering them to human workers for packing and shipping. Such warehouses are increasingly becoming part of the supply chain in many industries, from e-commerce to automotive production.
A radical new type of touch sensor for robotics and other bio-mimicking (bionic) applications is so sensitive it works even without direct contact between the sensor and the objects being detected. It senses interference in the electric field between an object and the sensor, at up to 100 millimeters from the object.