New Algorithm Helps Autonomous Vehicles Find Themselves, Summer or Winter
06-24-21
Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain. The general process, known as visual terrain-relative navigation (VTRN), was first developed in the 1960s. By comparing nearby terrain to high-resolution satellite images, autonomous systems can locate themselves. The problem is that, in order for it to work, the current generation of VTRN requires that the terrain it is looking at closely matches the images in its database. To overcome this challenge, Anthony Fragoso, Lecturer in Aerospace; Staff Scientist, Connor Lee, Graduate student in Aerospace, Austin McCoy, Undergraduate, and Soon-Jo Chung, Bren Professor of Aerospace and Control and Dynamical Systems and research scientist at JPL, turned to deep learning and artificial intelligence (AI) to remove seasonal content that hinders current VTRN systems. [Caltech story]
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GALCIT
MCE
CMS
Soon-Jo Chung
Anthony Fragoso
Connor Lee
Austin McCoy
EAS New Horizons Diversity, Equity & Inclusion Award
05-04-21
The Division of Engineering and Applied Sciences seeks nominations to recognize and honor individuals within the EAS community who have actively contributed to EAS’s goal to be a diverse, equitable, and inclusive engineering community. The award is available to members of the EAS community, including current students, postdoctoral scholars, staff, and faculty. Nominations are due Wednesday, May 19, 2021 and are accepted from anyone in the EAS community, EAS alumni and members of the Caltech community. Click here for full description of how to make a nomination.
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FUTURE Ignited
11-04-20
Nearly 200 undergraduates from more than 120 colleges and universities across the country joined Caltech for FUTURE Ignited, a virtual event that aimed to encourage students of color to pursue graduate studies in science and engineering. The goal of FUTURE Ignited is to diversify STEM with students of color who will go on to become incredible graduate students and scientific leaders in their respective fields. [Caltech story]
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FUTURE Ignited
EAS Remembers Jakob van Zyl
08-27-20
Jakob van Zyl, Senior Faculty Associate in Electrical Engineering and Aerospace, passed away on August 26, 2020 at the age of 63. He came to Caltech in 1982 and received his M.S. and Ph.D. in Electrical Engineering in 1983 and 1986, respectively. He joined JPL in 1986 and retired in 2019 as the Director of Solar System Exploration. He was world-renowned for his research in imaging radar polarimetry. He made pioneering contributions to the design and development of many synthetic aperture radar (SAR) systems, including SIR-C, SRTM, AIRSAR, TOPSAR, and GeoSAR. He held management roles at JPL including, Director for Astronomy and Physics (2006-2011), Associate Director of Project Formulation and Strategy (2011-2015), and Director of Solar System Exploration (2016-2019). He received many honors and awards, including an honorary doctorate from his alma mater, the University of Stellenbosch in South Africa in 2015 for his contributions to space missions, for being a good ambassador for Africa, and for inspiring young scientists and engineers in his home continent. Over the last two decades, he taught EE/Ae 157 Introduction to the Physics of Remote Sensing. He contributed in numerous ways to promote interactions between EAS and JPL.
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Jakob van Zyl
Microstructures Self-Assemble into New Materials
03-03-20
A new process developed at Caltech makes it possible for the first time to manufacture large quantities of materials whose structure is designed at a nanometer scale—the size of DNA's double helix. Pioneered by Julia R. Greer, Ruben F. and Donna Mettler Professor of Materials Science, Mechanics and Medical Engineering; Fletcher Jones Foundation Director of the Kavli Nanoscience Institute, "nanoarchitected materials" exhibit unusual, often surprising properties—for example, exceptionally lightweight ceramics that spring back to their original shape, like a sponge, after being compressed. Now, a team of engineers at Caltech and ETH Zurich have developed a material that is designed at the nanoscale but assembles itself—with no need for the precision laser assembly. "We couldn't 3-D print this much nanoarchitected material even in a month; instead we're able to grow it in a matter of hours," says Carlos M. Portela, Postdoctoral Scholar. "It is exciting to see our computationally designed optimal nanoscale architectures being realized experimentally in the lab," says Dennis M. Kochmann, Visiting Associate. [Caltech story]
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Julia Greer
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"Neural Lander" Uses AI to Land Drones Smoothly
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]
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Morteza Gharib
Yisong Yue
Soon-Jo Chung
Animashree Anandkumar
