We survey the recent work on micro unmanned aerial vehicles (UAVs), a fast-growing field in robotics, outlining the opportunities for research and applications, along with the scientific and technological challenges. Micro-UAVs can operate in three-dimensional environments, explore and map multi-story buildings, manipulate and transport objects, and even perform such tasks as assembly. While fixed-base industrial robots were the main focus in the first two decades of robotics, and mobile robots enabled most of the significant advances during the next two decades, it is likely that UAVs, and particularly micro-UAVs, will provide a major impetus for the next phase of education, research, and development.
AbbeelP (2008) Apprenticeship Learning and Reinforcement Learning with Application to Robotic Control. Ph.D. Thesis, Stanford University, Stanford, CA.
2.
BachrachAPrenticeSHeRRoyN (2011) RANGE - robust autonomous naivigation in GPS-denied environments. Journal of Field Robotics28: 644–666.
3.
BeardRWLawtonJHadaeghFY (2001) A coordination architecture for spacecraft formation control. IEEE Transactions on Control Systems Technology9: 777–790.
4.
BermesC (2010) Design and Dynamic Modeling of Autonomous Coaxial Micro Helicopters. Ph.D. Thesis, ETH Zurich, Switzerland.
5.
BermesCSchafrothDBouabdallahSSiegwartR (2009) Modular simulation model for coaxial rotary wing MAVs. In Proceedings of the International Symposium on Unmanned Aerial Vehicles.
6.
BloschMWeissSScaramuzzaDSiegwartR (2010) Vision based MAV navigation in unknown and unstructured environments. In Proceedings of the IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 21–28
7.
BouabdallahS (2007) Design and Control of Quadrotors with Applications to Autonomous Flying. Ph.D. Thesis, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
8.
BourquardezOMahonyRGuenardNChaumetteFHamelTEckL (2009) Image-based visual servo control of the translation kinematics of a quadrotor aerial vehicle. IEEE Transactions on Robotics25: 743–749.
9.
BulloFCortésJMartnezS (2009) Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (Applied Mathematics Series). Princeton, NJ: Princeton University Press.
10.
CowlingIDYakimenkoOAWhidborneJFCookeAK (2007) A prototype of an autonomous controller for quadrotor UAV. In Proceedings of the European Control Conference, Kos, Greece.
11.
CraigJHsuPSastryS (1986) Adaptive control of mechanical manipulators. In Proceedings of the IEEE International Conference on Robotics and Automation, vol. 3, pp. 190–195.
12.
DesaiJPOstrowskiJPKumarV (2001) Modeling and control of formations of nonholonomic mobile robots. IEEE Transactions on Robotics17: 905–908.
13.
EgerstedtMHuX (2001) Formation constrained multi-agent control. IEEE Transactions on Robotics and Automation17: 947–951.
14.
FaruqueIHumbertJS (2010) Dipteran insect flight dynamics. Part 2: Lateral-directional motion about hover. Journal of Theoretical Biology265: 306–313.
15.
FinkJMichaelNKimSKumarV (2011) Planning and control for cooperative manipulation and transportation with aerial robots. The International Journal of Robotics Research30: 324–334.
16.
FrazzoliEDahlehMFeronE (2005) Maneuver-based motion planning for nonlinear systems with symmetries. IEEE Transactions on Robotics21: 1077–1091.
17.
GillulaJHHuangHVitusMPTomlinCJ (2010) Design of guaranteed safe maneuvers using reachable sets: Autonomous quadrotor aerobatics in theory and practice. In Proceedings of the IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 1649–1654.
18.
GrzonkaSGrisettiGBurgardW (2009) Towards a navigation system for autonomous indoor flying. In Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan, pp. 2878–2883.
19.
GurdanDStumpfJAchtelikMDothKMHirzingerGRusD (2007) Energy-efficient autonomous four-rotor flying robot controlled at 1 kHz. In Proceedings of the IEEE International Conference on Robotics and Automation, Rome, Italy, 361–366.
20.
HeRPrenticeSRoyN (2008) Planning in information space for a quadrotor helicopter in a GPS-denied environment. In Proceedings of the IEEE International Conference on Robotics and Automation, Pasadena, CA, pp. 1814–1820.
21.
HengLLeeGHFraundorferFPollefeysM (2011a) Real-time photo-realistic 3D mapping for micro aerial vehicles. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, pp. 4012–4019.
22.
HengLMeierLTanskanenPFraundorferFPollefeysM (2011b) Autonomous obstacle avoidance and maneuvering on a vision-guided MAV using on-board processing. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 2472–2477.
23.
HuangHHoffmanGMWaslanderSLTomlinCJ (2009) Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering. In Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan, pp. 3277–3282.
24.
JadbabaieAHauserJ (2005) On the stability of receding horizon control with a general terminal cost. IEEE Transactions on Automatic Control50: 674–678.
25.
JadbabaieAYuJHauserJ (2001) Unconstrained receding-horizon control of nonlinear systems. IEEE Transactions on Automatic Control46: 776–783.
26.
JeanneRL (1999) Group size, productivity, and information flow in social wasps. In Information Processing in Social Insects. Basel: Birkhäuser.
27.
JiangQKumarV (2010a) The direct kinematics of objects suspended from cables,. In ASME International Design Engineering Technology Conference and Computers and Information in Engineering Conference.
28.
JiangQKumarV (2010b) The inverse kinematics of 3-d towing. In LenarcicJStanisicMM (eds), Advances in Robot Kinematics, pp. 321–328.
29.
JonesESoattoS (2011) Visual–inertial navigation, mapping and localization: A scalable real-time causal approach. International Journal of Robotics Research; in press.
30.
KellyJSukhatmeGS (2011) Visual–inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration. International Journal of Robotics Research30: 56–79.
31.
KeviczkyTJohanssonKH (2008) A study on distributed model predicitve consensus. In IFAC World Congress, vol. 17, Seoul, Korea.
32.
KimHShimDSastryS (2002) Nonlinear model predictive tracking control for rotorcraft-based unmanned aerial vehicles. In Proceedings of the American Control Conference, vol. 5, Anchorage, AK, pp. 3576–3581.
33.
KneipLMartinelliAWeissSScaramuzzaDSiegwartR (2011) Closed-form solution for absolute scale velocity determination combining inertial measurements and a single feature correspondence. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 4546–4553.
34.
KumarVMichaelN (2011) Opportunities and challenges with autonomous micro aerial vehicles. In Proceedings of the International Symposoium of Robotics Research, Flagstaff, AZ.
35.
LavalleSM (2006) Planning Algorithms. Cambridge: Cambridge University Press.
36.
LeeGHFraundorferFPollefeysM (2011) MAV visual SLAM with plane constraint. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 3139–3144.
37.
LeeTLeokMMcClamrochNH (2010) Geometric tracking control of a quadrotor UAV on SE(3). In Proceedings of the IEEE Conference on Decision and Control, Atlanta, GA, pp. 5420–5425.
38.
LikhachevMFergusonD (2009) Planning long dynamically feasible maneuvers for autonomous vehicles. The International Journal of Robotics Research28: 933–945.
39.
LikhachevMGordonGThrunS (2003) ARA*: Anytime A* with Provable Bounds on Sub-optimality (Advances in Neural Information Processing Systems, vol. 16).
40.
LindseyQMellingerDKumarV (2011) Construction of cubic structures with quadrotor teams. In Proceedings of Robotics: Science and Systems, Los Angeles, CA.
41.
LupashinSScholligASherbackMD’AndreaR (2010) A simple learning strategy for high-speed quadrocopter multi-flips. In Proceedings of the IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 1642–1648.
42.
MackenzieD (2012) A flapping of wings. Science335: 1430–1433.
43.
MeierLTanskanenPFraundorferFPollefeysM (2011) PIXHAWK: A system for autonomous flight using onboard computer vision. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 2992–2997.
44.
MellingerDKumarV (2011) Minimum snap trajectory generation and control for quadrotors. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 2520–2525.
45.
MellingerDKushleyevAKumarV (2012) Mixed-integer quadratic program trajectory generation for heterogeneous quadrotor teams. Submitted.
46.
MellingerDLindseyQShominMKumarV (2011) Design, modeling, estimation and control for aerial grasping and manipulation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, pp. 2668–2673.
47.
MellingerDMichaelNKumarV (2010a) Trajectory generation and control for precise aggressive maneuvers with quadrotors. In Proceedings of the International Symposium on Experimental Robotics, Delhi, India.
48.
MellingerDShominMMichaelNKumarV (2010b) Cooperative grasping and transport using multiple quadrotors. In International Symposium on Distributed Autonomous Systems, Lausanne, Switzerland.
49.
MettlerB (2001) Modeling Small-Scale Unmanned Rotorcraft for Advanced Flight Control Design. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA.
50.
MichaelNFinkJKumarV (2011a) Cooperative manipulation and transportation with aerial robots. Autonomous Robots30: 73–86.
51.
MichaelNKumarV (2011) Control of ensembles of aerial robots. Proceedings of the IEEE99: 1587–1602.
52.
MichaelNMellingerDLindseyQKumarV (2010) The GRASP multiple micro UAV testbed. IEEE Robotics and Automation Magazine17: 56–65.
53.
MichaelNTadokoroSNagataniKOhnoK (2011b) Experiments with air ground coordination for search and rescue in collapsed buildings. Working Paper.
54.
MilfordMJSchillFCorkePMahonyRWyethG (2011) Aerial SLAM with a single camera using visual expectation. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 2506–2512.
55.
MillerDSGremillionGRanganathanB. (2010) Challenges present in the development and stabilization of a micro quadrotor helicopter. In Autonomous Weapons Summit and GNC Challenges for Miniature Autonomous Systems Workshop.
56.
MirzaeiFRoumeliotisS (2008) A Kalman filter-based algorithm for IMU–camera calibration: Observability analysis and performance evaluation. IEEE Transactions on Robotics24: 1143–1156.
57.
MourikisAITrawnyNRoumeliotisSIJohnsonAEAnsarAMatthiesL (2009) Vision-aided inertial navigation for spacecraft entry, descent, and landing. IEEE Transactions on Robotics25: 264–280.
58.
MurrayRMRathinamMSluisW (1995) Differential flatness of mechanical control systems: A catalog of prototype systems. In Proceedings of the ASME International Congress and Exposition.
59.
NiemeyerGSlotineJ-J (1988) Performance in adaptive manipulator control. In Proceedings of the IEEE Conference on Decision and Control, vol. 2, pp. 1585–1591.
60.
NieuwstadtMJVMurrayRM (1998) Real-time trajectory generation for differentially flat systems. International Journal of Robust and Nonlinear Control8: 995–1020.
61.
OrtegaRSpongMW (1988) Adaptive motion control of rigid robots: a tutorial. In Proceedings of the IEEE Conference on Decision and Control, vol. 2, pp. 1575–1584.
62.
ParrishJHamnerW (eds) (1997) Animal Groups in Three Dimensions. New York: Cambridge University Press.
63.
PinesDBohorquezF (2006) Challenges facing future micro air vehicle development. AIAA Journal of Aircraft43: 290–305.
64.
PoundsPDollarA (2010) Hovering stability of helicopters with elastic constraints. In ASME Dynamic Systems and Control Conference.
65.
PurwinOD’AndreaR (2009) Performing aggressive maneuvers using iterative learning control. In Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan, pp. 1731–1736.
66.
RattiJVachtsevanosG (2011) Towards energy efficiency in micro hovering air vehicles. In IEEE Aerospace Conference, Big Sky, MT, pp. 1–8.
67.
SaripalliSMontgomeryJFSukhatmeGS (2002) Vision-based autonomous landing of an unmanned aerial vehicle. In Proceedings of the IEEE International Conference on Robotics and Automation, Washington, DC, pp. 2799–2804.
68.
SchererSSinghSChamberlainLSaripalliS (2007) Flying fast and low among obstacles. In Proceedings of the IEEE International Conference on Robotics and Automation, Rome, Italy, pp. 2023–2029.
69.
SchwagerMMichaelNKumarVRusD (2011) Time scales and stability in networked multi-robot systems. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 3855–3862.
70.
SevcikKWKuntzNOhPY (2010) Exploring the effect of obscurants on safe landing zone indentification. Journal of Intelligent Robotic Systems57: 281–295.
71.
SharpCSShakerniaOSastrySS (2001) A vision system for landing an unmanned aerial vehicle. In Proceedings of the IEEE International Conference on Robotics and Automation, vol. 2, Seoul, Korea, pp. 1720–1727.
72.
ShenSMichaelNKumarV (2011a) Autonomous indoor 3D exploration with a micro-aerial vehicle. Submitted.
73.
ShenSMichaelNKumarV (2011b) Autonomous multi-floor indoor navigation with a computationally constrained MAV. In Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 20–25.
74.
ShimDKimHSastryS (2003) Decentralized nonlinear model predictive control of multiple flying robots. In Proceedings of the IEEE Conference on Decision and Control, vol. 4, pp. 3621–3626.
75.
StumpEMichaelN (2011) Multi-robot persistent surveillance planning as a vehicle routing problem. In Proceedings of the IEEE Conference on Automation Science and Engineering, Trieste, Italy, pp. 569–575.
76.
TannerHJadbabaieAPappasGJ (2007) Flocking in fixed and switching networks. IEEE Transactions on Automatic Control52: 863–868.
77.
TedrakeR (2009) LQR-Trees: Feedback motion planning on sparse randomized trees. In Proceedings of Robotics: Science and Systems, Seattle, WA.
78.
TurpinMMichaelNKumarV (2011) Trajectory design and control for aggressive formation flight with quadrotors. In Proceedings of the International Symposium of Robotics Research, Flagstaff, AZ.
79.
UAV Market Research (2011) U.S. Military Unmanned Aerial Vehicles (UAV) Market Forecast 2010–2015. Available at: http://www.uavmarketresearch.com/.
80.
van der BergJAbbeelPGoldbergK (2011) LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information. The International Journal of Robotics Research30: 895–913.
81.
VicsekTCzirókABen-JacobECohenIShochetO (1995) Novel type of phase transition in a system of self-driven particles. Physical Review Letters75: 1226–1229.
82.
WeissSAchtelikMWChliMSiegwartR (2012) Versatile distributed pose estimation and sensor self-calibration for an autonomous MAV. In Proceedings of ICRA, Saint Paul, MN.
83.
WeissSScaramuzzaDSiegwartR (2011) Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments. Journal of Field Robotics28: 854–874.
84.
WenJKreutz-DelgadoK (1991) The attitude control problem. IEEE Transactions on Automatic Control36: 1148–1162.
85.
WenzelKERossetPZellA (2010) Low-cost visual tracking of a landing place and hovering flight control with a microcontroller. Journal of Intelligent Robotic Systems57: 297–311.
86.
WhitcombLRizziAKoditschekD (1993) Comparative experiments with a new adaptive controller for robot arms. IEEE Transactions on Robotics and Automation9: 59–70.
87.
WolowiczCHBowmanJSGilbertWP (1979) Similitude Requirements and Scaling Relationships as Applied to Model Testing. Technical Report, NASA.
88.
YuJJadbabaieAPrimbsJHuangY (1999) Comparison of nonlinear control design techniques on a model of the caltech ducted fan. In IFAC World Congress, pp. 53–58.
89.
ZarovySCostelloMMehtaA. (2010) Experimental study of gust effects on micro air vehicles. In AIAA Conference on Atmospheric Flight Mechanics. American Institute of Aeronautics and Astronautics, paper AIAA-2010-7818.
90.
ZinggSScaramuzzaDWeissSSiegwartR (2010) MAV navigation through indoor corridors using optical flow. In Proceedings of the IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 3361–3368.
