Over the past few decades, computer scientists have developed numerous machine learning tools that can recognize specific objects or animals in images and videos. While some of these techniques have achieved remarkable results on simple animals or items (e.g., cats,...
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A technique that allows legged robots to continuously learn from their environment
Legged robots have numerous advantageous qualities, including the ability to travel long distances and navigate a wide range of land-based environments. So far, however, legged robots have been primarily trained to move in specific environments, rather than to adapt...
CoHaptics: A wearable haptic robot with a 6DoF camera to enhance the safety of human-robot collaboration
The number of collaborative mobile robots introduced in real-world settings is gradually increasing, with approximately 20,000 new installations per year. For their use to increase further, however, roboticists should ensure that these robots are both efficient and...
New memcapacitor devices for neuromorphic computing applications
To train and implement artificial neural networks, engineers require advanced devices capable of performing data-intensive computations. In recent years, research teams worldwide have been trying to create such devices, using different approaches and designs.
DeepDraper: A technique that predicts how clothes would look on different people
In recent years, some computer scientists have been exploring the potential of deep-learning techniques for virtually dressing 3D digital versions of humans. Such techniques could have numerous valuable applications, particularly for online shopping, gaming and 3D...
A strategy to directly modulate the second-order optical susceptibility of monolayer molybdenum ditelluride
Nonlinear optics is a research field that explores how intense light interacts with matter. Typically, the optical response of materials is linearly associated with the amplitude of the electric field applied to them. At particularly high amplitudes, however, the...
A technique to automatically generate hardware components for robotic systems
As robots become increasingly sophisticated and advanced, they will typically require a growing amount of hardware components, including robotic limbs, motors, sensors and actuators. In addition, robots have integrated computers that process data collected by their...
A wireless system based on large-area electronics operating at gigahertz frequencies
Large-area electronics (LAE) is an emerging technology for electronic device manufacture, such as printing or large-scale lithography, the process used to create flat panel displays and solar cells. Using LAE processes, engineers could create systems that are large...
A system to transfer robotic dexterous manipulation skills from simulations to real robots
Last year, the Max Planck Institute for Intelligent Systems organized the Real Robot Challenge, a competition that challenged academic labs to come up with solutions to the problem of repositioning and reorienting a cube using a low-cost robotic hand. The teams...
An online method to allocate tasks to robots on a team during natural disaster scenarios
Teams of robots could help users to complete numerous tasks more rapidly and efficiently, as well as keeping human agents out of harm's way during hazardous operations. In recent years, some studies have particularly explored the potential of robot swarms in assisting...