How to Enhance Robot & Aerospace Control, Planning, and Navigation with Machine Learning & AI

How to Enhance Robot & Aerospace Control, Planning, and Navigation with Machine Learning & AI

One common theme of our research projects at Caltech’s Center for Autonomous Systems and Technologies (CAST) is to systematically leverage AI and Machine Learning (ML) towards achieving safe and stable autonomy of robotic and aerospace systems, such as spacecraft swarms and drones.

Thu
12/16/21
 
5:30 pm
 - 
Thu
12/16/21
 
7:00 pm
  
·  
Online (Zoom)
5:30 pm
 - 
7:00 pm
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Add to Calendar 2021-12-16 17:30 2021-12-16 19:00 America/Los_Angeles How to Enhance Robot & Aerospace Control, Planning, and Navigation with Machine Learning & AI One common theme of our research projects at Caltech’s Center for Autonomous Systems and Technologies (CAST) is to systematically leverage AI and Machine Learning (ML) towards achieving safe and stable autonomy of robotic and aerospace systems, such as spacecraft swarms and drones. Online (Zoom)
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One common theme of our research projects at Caltech’s Center for Autonomous Systems and Technologies (CAST) and my research group http://aerospacerobotics.caltech.edu/ is to systematically leverage AI and Machine Learning (ML) towards achieving safe and stable autonomy of robotic and aerospace systems, such as spacecraft swarms and drones. Stability and safety are often research problems of control theory and robotics, while conventional black-box AI approaches lack the much-needed robustness, scalability, and interpretability, which are indispensable to designing control and autonomy engines for safety-critical aerospace robotic systems.

To illustrate, my research team is developing the Autonomous Flying Ambulance, which can fly a short distance using distributed electric fans combined with efficient wings to med-vac a patient to a local hospital under any severe weather conditions. Another example is LEONARDO, world’s first walking and flying bipedal robot.

Realizing such novel robotic systems with all the necessary autonomous capabilities will revolutionize how we travel, how we save lives, and how we respond to natural disasters and emergencies.

In addition to discussing the above, I will also briefly summarize some research work in autonomy and autonomous guidance, navigation, and control for swarms of satellites and science explorer drones.

Soon-Jo is the Bren Professor of Aerospace in the Graduate Aerospace Laboratories of the California Institute of Technology (GALCIT).  He is also a Research Scientist of the NASA Jet Propulsion Laboratory. His bio can be found at Brief Bio of Soon-Jo Chung — Aerospace Robotics and Control at Caltech.

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