Work
A scalable reinforcement learning–based framework to facilitate the teleoperation of humanoid robots
The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet...
A framework to improve air-ground robot navigation in complex occlusion-prone environments
Robotic systems have so far been primarily deployed in warehouses, airports, malls, offices, and other indoor environments, where they assist humans with basic manual tasks or answer simple queries....
Exploring the resilience of the Texas power grid against extreme weather conditions
The Gulf Coast of the United States is often hit by tropical cyclones (TCs), hurricanes and other extreme weather phenomena, which can cause widespread electricity outages. Climate change and global...
Exploring the factors that influence people’s ability to detect lies online
The internet has given rise to new forms of deceit and misinformation, including phishing attacks, romance scams and fake news. While many psychological studies have investigated the factors that...
Study unveils a new family of quantum anomalous Hall insulators
In recent years, physicists and material scientists have identified various new materials marked by interesting properties and quantum effects. These materials could prove highly valuable both as...
A Q&A With Renowned Neuromorphic Chip Designer Chiara Bartolozzi
For our final feature celebrating Women’s History Month, we interviewed Chiara Bartolozzi, a senior researcher moving the needle in neuromorphic engineering.
Using a 2D perovskite oxide as a photoactive high-κ gate dielectric
Two-dimensional (2D) superconducting materials have been found to be promising for the development of miniaturized optoelectronic devices. To perform well while consuming less energy, however, these...
A new strategy for fabricating high-density vertical organic electrochemical transistor arrays
Organic electrochemical transistors (OECTs) are an emerging class of transistors based on organic superconducting materials known for their ability to modulate electrical current in response to...
An optimization-based method to enhance autonomous parking
Vehicles that can drive themselves have been a long sought after goal both of robotics research and the automotive industry. While various companies have been investing in these vehicles and testing...
A method to compute the Rényi entanglement entropy in auxiliary-field quantum Monte Carlo simulations
Entanglement is a widely studied quantum physics phenomenon, in which two particles become linked in such a way that the state of one affects the state of another, irrespective of the distance...