LEADER 02307nam 2200481 450 001 9910717421003321 005 20230801215441.0 010 $a9783031272882$b(electronic bk.) 010 $z9783031272875 024 7 $a10.1007/978-3-031-27288-2 035 $a(MiAaPQ)EBC7240908 035 $a(Au-PeEL)EBL7240908 035 $a(DE-He213)978-3-031-27288-2 035 $a(OCoLC)1378391944 035 $a(PPN)26965545X 035 $a(EXLCZ)9926516395800041 100 $a20230801d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgile autonomy $elearning high-speed vision-based flight /$fAntonio Loquercio 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (69 pages) 225 1 $aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v153 311 08$aPrint version: Loquercio, Antonio Agile Autonomy: Learning High-Speed Vision-Based Flight Cham : Springer International Publishing AG,c2023 9783031272875 320 $aIncludes bibliographical references. 327 $a1: Introduction -- 2: Contribution -- 3: Future Directions. 330 $aThis book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions. 410 0$aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v153 606 $aAutonomous robots 615 0$aAutonomous robots. 676 $a050 700 $aLoquercio$b Antonio$01354687 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910717421003321 996 $aAgile autonomy$93419284 997 $aUNINA