In this extended abstract, we present our latest research in learning deep sensorimotor policies for agile visionbased quadrotor flight. In addition, we discuss the open research questions that still need to be answered to improve the agility and robustness of autonomous drones.https://youtu.be/c8v2Bcpgtz
Drones are rapidly increasing their activity in the airspace worldwide. This expected growth of the...
Humans race drones faster than algorithms, despite being limited to a fixed camera angle, body rate ...
In this extended abstract, we present our latest research in robust state estimation for agile quad...
Accompanying code and dataset for the paper "Learning High-Speed Flight in the Wild". Please check o...
Autonomous agile flight brings up fundamental challenges in robotics, such as coping with unreliable...
Robust quadrotor control with accurate depth estimation and obstacle avoidance is paramount for agil...
With the rise of Deep Learning approaches in computer vision applications, significant strides have ...
Autonomous drones can operate in remote and unstructured environments, enabling various real-world a...
Lightweight, autonomous drones are soon expected to be used in a wide variety of tasks such as aeria...
Performing acrobatic maneuvers with quadrotorsis extremely challenging. Acrobatic flight requires hi...
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous s...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.Cata...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This thesis delves into the integration of Artificial Intelligence (AI) within the realm of autonomo...
Drones are rapidly increasing their activity in the airspace worldwide. This expected growth of the...
Humans race drones faster than algorithms, despite being limited to a fixed camera angle, body rate ...
In this extended abstract, we present our latest research in robust state estimation for agile quad...
Accompanying code and dataset for the paper "Learning High-Speed Flight in the Wild". Please check o...
Autonomous agile flight brings up fundamental challenges in robotics, such as coping with unreliable...
Robust quadrotor control with accurate depth estimation and obstacle avoidance is paramount for agil...
With the rise of Deep Learning approaches in computer vision applications, significant strides have ...
Autonomous drones can operate in remote and unstructured environments, enabling various real-world a...
Lightweight, autonomous drones are soon expected to be used in a wide variety of tasks such as aeria...
Performing acrobatic maneuvers with quadrotorsis extremely challenging. Acrobatic flight requires hi...
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous s...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.Cata...
Dynamically changing environments, unreliable state estimation, and operation under severe resource ...
This thesis delves into the integration of Artificial Intelligence (AI) within the realm of autonomo...
Drones are rapidly increasing their activity in the airspace worldwide. This expected growth of the...
Humans race drones faster than algorithms, despite being limited to a fixed camera angle, body rate ...
In this extended abstract, we present our latest research in robust state estimation for agile quad...
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