TY  - GEN
N2  - This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.
DO  - 10.1007/978-3-031-27288-2
DO  - doi
AB  - This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.
T1  - Agile autonomy :learning high-speed vision-based flight /
AU  - Loquercio, Antonio,
VL  - volume 153
CN  - TJ211.3
ID  - 1463632
KW  - Robot vision.
KW  - Drone aircraft
KW  - Autonomous robots.
KW  - Quadrotor helicopters.
SN  - 9783031272882
SN  - 3031272889
TI  - Agile autonomy :learning high-speed vision-based flight /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-27288-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-27288-2
ER  -