Over the past few decades, roboticists have designed a variety of robots to assist humans. These include robots that could assist the elderly and serve as companions to improve their wellbeing and quality of life.
Machine learning & AI
A framework to enhance deep learning using first-spike times
Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published in Nature Machine Intelligence, is a...
A model that can generate humorous versions of existing headlines
Over the past decade or so, computer scientists have developed a growing number of computational models that can generate, edit and analyze texts. While some of these models have achieved remarkable results, some aspects of human language and communication have proved...
Researchers develop a new robot that can efficiently navigate sidewalks in urban environments
To operate efficiently in urban environments, mobile robots and other autonomous systems should be able to move safely on sidewalks and avoid collisions with pedestrians or other obstacles. This is particularly true for delivery robots or systems that are specifically...
A machine learning technique that can learn local equilibria in symmetric auction games
Over the past few decades, computer scientists have been exploring the potential of applying game theory and artificial intelligence (AI) tools to chess, the abstract strategy board game go, or other games. Another valuable use of game theory is in the economic...
A multi-task learning network to recognize the numbers on jerseys of sports team players
When reporting on sports games live or remotely, commentators should be able to quickly recognize the numbers on the players' jersey shirts, as this allows them to keep up with what's happening and communicate it to their audience. However, quickly identifying players...
A framework to evaluate techniques for simulating physical systems
The simulation of physical systems using computing tools can have numerous valuable applications, both in research and real-world settings. Most existing tools for simulating physical systems are based on physics theory and numerical calculations. In recent years,...
LOKI: An intention dataset to train models for pedestrian and vehicle trajectory prediction
Human decision-making processes are inherently hierarchical. This means that they involve several levels of reasoning and different planning strategies that operate simultaneously to achieve both short-term and long-term goals.
Air Learning: A gym environment to train deep reinforcement algorithms for aerial robot navigation
Roboticists worldwide have been trying to develop autonomous unmanned aerial vehicles (UAVs) that could be deployed during search and rescue missions or that could be used to map geographical areas and for source-seeking. To operate autonomously, however, drones...
A framework for robot path finding in unstructured environments
In recent years, computer scientists have developed mobile robots that could be introduced in a variety of settings. To efficiently navigate unstructured environments, however, these robots should be able to plan safe paths to reach their desired destinations.