05-19-22
Myra Cheng and Saehui Hwang, two graduating Caltech seniors, have been selected as Knight-Hennessy Scholars at Stanford University. The program provides up to three years of funding as well as additional leadership training, workshops, lectures, projects, and travel opportunities for graduate students in order to prepare them for leadership roles in addressing global challenges. [Caltech story]
05-05-22
To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions. A team of engineers from Caltech has developed Neural-Fly, a deep-learning method that can help drones cope with new and unknown wind conditions in real time just by updating a few key parameters. [Caltech story]
Tags: research highlights GALCIT CMS Yisong Yue Soon-Jo Chung Animashree Anandkumar Xichen Shi Guanya Shi Michael O'Connell Kamyar Azizzadenesheli
12-07-21
Computing and Mathematical Sciences student Zihui (Ray) Wu has won the Best Paper Award at the ML4Health Conference. The paper is titled "End-to-End Sequential Sampling and Reconstruction for MR Imaging", and studies how to use learning to jointly co-optimize both sensing and reconstruction for costly imaging tasks such as MRI.
05-24-21
Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Professor of Computing and Mathematical Sciences, and Soon-Jo Chung, Bren Professor of Aerospace and Control and Dynamical Systems; Jet Propulsion Laboratory Research Scientist, have received an honorable mention for the IEEE Robotics and Automation Letters Best Paper Award for their paper titled "GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning."
Tags: honors GALCIT CMS Yisong Yue CNS Soon-Jo Chung Benjamin Rivière Wolfgang Hönig
07-14-20
Soon-Jo Chung, Bren Professor of Aerospace, Yisong Yue, Professor of Computing and Mathematical Sciences, postdoctoral scholar Wolfgang Hönig, and graduate students Benjamin Rivière and Guanya Shi, have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another. "Our work shows some promising results to overcome the safety, robustness, and scalability issues of conventional black-box artificial intelligence (AI) approaches for swarm motion planning with GLAS and close-proximity control for multiple drones using Neural-Swarm," says Chung. [Caltech story]
Tags: research highlights GALCIT CMS Yisong Yue CNS Soon-Jo Chung postdocs Benjamin Rivière Guanya Shi Wolfgang Hönig
06-12-20
Myra Cheng, an undergraduate student in computing and mathematical sciences, has been selected to receive a Goldwater Scholarship. The Barry Goldwater Scholarship and Excellence in Education Program awards scholarships to college sophomores or juniors who intend to pursue research careers in science, mathematics, and engineering. Myra works with Yisong Yue, Professor of Computing and Mathematical Sciences, and Joel Burdick, Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering; Jet Propulsion Laboratory Research Scientist, on optimization algorithms that can learn individual preferences based on real-time interaction with people. These algorithms can be used in wearable exoskeletons that help mobility-impaired individuals walk. "I'm interested in how machine learning interacts with humans and, more broadly, human society," she says. Cheng has also been working with Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, and Claire Ralph, Lecturer in Computing and Mathematical Sciences; Director, Career Development Center, on developing algorithms that address questions of explainability and algorithms that affect social change. [Caltech story]
Tags: honors MedE CMS Joel Burdick Yisong Yue CNS Claire Ralph Katie Bouman Myra Cheng Goldwater Scholarship
06-08-20
Two teams of Caltech researchers have won three International Conference on Robotics and Automation (ICRA) Best Paper Awards in multiple categories along with the overall best paper award. The ICRA is the largest and most prestigious robotics conference of the year. Awards are given on the basis of technical merit, originality, potential impact on the field, clarity of the written paper, and quality of the presentation. Maegan Tucker, Ellen Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, and Aaron Ames, have won the ICRA Best Conference Paper Award and the ICRA Best Paper Award on Human-Robot Interaction (HRI) for their paper entitled "Preference-Based Learning for Exoskeleton Gait Optimization." Amanda Bouman, Paul Nadan, Matthew Anderson, Daniel Pastor, Jacob Izraelevitz, Joel Burdick, and Brett Kennedy, have won the ICRA Best Paper Award on Unmanned Aerial Vehicles for their paper entitled "Design and Autonomous Stabilization of a Ballistically Launched Multirotor." [Virtual Award Ceremony]
Tags: EE honors MedE MCE CMS Joel Burdick IST Yisong Yue CNS Aaron Ames Maegan Tucker Ellen Novoseller Claudia Kann Yanan Sui Amanda Bouman Paul Nadan Matthew Anderson Daniel Pastor Jacob Izraelevitz Brett Kennedy
08-19-19
Professors Aaron Ames and Joel Burdick have launched a new research initiative, RoAMS (Robotic Assisted Mobility Science), aimed at restoring natural and stable locomotion to individuals with walking deficiencies that result from spinal cord injuries and strokes. RoAMS unites robotic assistive devices—including exoskeletons and prostheses—with artificial intelligence (AI)-infused neurocontrol. "Bipedal walking is difficult to achieve in a stable fashion," says Professor Ames. "While crutches help users of the exoskeletons to stay upright, they undercut many of the health benefits that upright locomotion might otherwise provide. In addition, they do not allow users to do anything else with their hands while walking." [Caltech story]
Tags: research highlights MedE Yu-Chong Tai MCE CMS Joel Burdick Yisong Yue Aaron Ames
06-12-19
Meera Krishnamoorthy, a senior in electrical engineering, has received a National Physical Science Consortium (NPSC) Fellowship that will fund up to six years of graduate training. Krishnamoorthy will be enrolling in a computer science PhD program at the University of Michigan, studying artificial intelligence and machine-learning applications for health care, such as turning complex medical data into actionable knowledge that ultimately improves patient care. "Engineering is a great way to solve problems in multiple disciplines," she says. Krishnamoorthy's interest in machine learning was sparked by coursework and a research project she worked with Professor Yisong Yue, and her academic advisor has been Professor Steven Low. [Caltech story]
Tags: EE honors CMS alumni Steven Low Yisong Yue Meera Krishnamoorthy
05-23-19
Professors Chung, Anandkumar, and Yue have teamed up to develop a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, while gobbling up less power. The system they have created, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing. The new system could prove crucial to projects currently under development at CAST, including an autonomous medical transport that could land in difficult-to-reach locations (such as a gridlocked traffic). "The importance of being able to land swiftly and smoothly when transporting an injured individual cannot be overstated," says Professor Gharib who is the director of CAST; and one of the lead researchers of the air ambulance project. [Caltech story]
Tags: research highlights Morteza Gharib Yisong Yue Soon-Jo Chung Animashree Anandkumar
