Artificial agents that negotiate with humans could have a broad range of valuable applications, for instance, helping humans to improve their negotiation skills in a variety of fields. To enhance the development of these agents, researchers at the University of...
Computer Sciences
SurvNet: A backward elimination procedure to enhance variable selection for deep neural networks
In recent years, models based on deep neural networks have achieved remarkable results on numerous tasks. Despite their high prediction accuracy, these models are known for their "black-box" nature, which essentially means that the processes that lead to their...
CineMPC: An algorithm to enable autonomous drone-based cinematography
Emerging technologies such as artificial intelligence (AI) algorithms, mobile robots and unmanned aerial vehicles (UAVs) could enhance practices in a variety of fields, including cinematography. In recent years, many cinematographers and entertainment companies...
Examining how humans develop trust towards embodied virtual agents
Embodied virtual agents (EVAs), graphically represented 3D virtual characters that display human-like behavior, could have valuable applications in a variety of settings. For instance, they could be used to help people practice their language skills or could serve as...
A tactile sensing foot to increase the stability of legged robots
In order to effectively navigate real-world environments, legged robots should be able to move swiftly and freely while maintaining their balance. This is particularly true for humanoid robots, robots with two legs and a human-like body structure.
An AR interface to assist human agents during critical missions
In recent years, computer scientists and roboticists have developed a variety of technological tools to aid human agents during critical missions, such as military operations or search and rescue efforts. Unmanned aerial vehicles (UAVs) have proved to be particularly...
Using different teams of robots to model environmental processes
Teams of multiple robots could help to tackle a number of complex real-world problems, for instance, assisting human agents during search and rescue missions, monitoring the environment or assessing the damage caused by natural disasters. Over the past few years,...
eSpine: A technique to increase the usable lifetime of neuromorphic systems
In recent years, engineers worldwide have been trying to develop increasingly advanced and efficient neuromorphic computing systems, devices that mimic the neuro-biological structure of the central nervous system. Due to their bio-inspired architectures, these systems...
DeepONet: A deep neural network-based model to approximate linear and nonlinear operators
Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes in values (i.e., discontinuities, holes or jumps in graph representations). While many studies have explored the use of neural...
Motiv Space Systems’ Vice President of Business Development Discusses Motiv’s Collaboration with NASA
Motiv Space Systems, a Pasadena-based company specialised in space robotics, is collaborating with NASA JLP on the development of the Cold Operable Lunar Deployable Arm (COLDArm), a sophisticated robotic arm that can efficiently operate on the Moon and in other...