New Algorithm Helps Autonomous Vehicles Find Themselves, Summer or Winter
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]
Luis Pabon Madrid Receives 2021 Henry Ford II Scholar Award
Mechanical Engineering student Luis Pabon Madrid, advised by Sergio Pellegrino, Joyce and Kent Kresa Professor of Aerospace and Civil Engineering; Jet Propulsion Laboratory Senior Research Scientist; Co-Director, Space-Based Solar Power Project, is one of four recipients of the 2021 Henry Ford II Scholar Award. Luis is interested in the intersection of robotics and aerospace with a focus on space exploration. Luis does research on aerial manipulation for a Mars science rotorcraft with Joel W. Burdick, Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering; Jet Propulsion Laboratory Research Scientist. He has previously worked as a Research and Development intern at Honeywell Aerospace and contributed to Caltech and JPL’s efforts for the DARPA Subterranean Challenge. He founded the Caltech AIAA Student Branch, which was selected as finalist for the NASA BIG Idea Challenge and awarded a grant to develop lunar dust mitigation technologies under the advisement of Soon-Jo Chung, Bren Professor of Aerospace and Control and Dynamical Systems; Jet Propulsion Laboratory Research Scientist. This summer, he will be working as a SURF fellow under Professor Chung, to continue his work on the challenge and explore the control of multirotor swarms. After graduation, he plans to pursue a Ph.D. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award
Luis Pabon Madrid
Daniel Neamati Receives 2020 Henry Ford II Scholar Award
Daniel Neamati is a recipient of the 2020 Henry Ford II Scholar Award. Daniel’s interests sit at the cross-section of mechanical engineering, aerospace engineering, and planetary science. Daniel's research includes modern computational techniques in microfluidic analyses, and he has contributed to JPL projects such as the Europa Lander and Mars 2020. In the near future, Daniel plans to conduct a SURF at Stanford, and a senior thesis with Soon-Jo Chung, Bren Professor of Aerospace; Jet Propulsion Laboratory Research Scientist, in the Aerospace Robotics and Control Laboratory. Thereafter, Daniel plans to pursue a Ph.D. in control systems in aerospace engineering. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award