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desert ants of the same species inhabiting landmark-free and landmark-rich environments. J.
Exp. Biol. 215, 3169–3174 (2012)
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jeb.184135
4. Lihoreau, M., Chittka, L., Le Comber, S.C., Raine, N.E.: Bees do not use nearest-neighbour
rules for optimization of multi-location routes. Biol. Let. 8, 13–16 (2012)
5. Loukola, O.J., Perry, C.J., Coscos, L., Chittka, L.: Bumblebees show cognitive flexibility by
improving on an observed complex behavior. Science (New York, NY) 355, 833–836 (2017)
6. Howard, S., Avarguès-Weber, A., Garcia, J., Greentree, A., Dyer, A.: Numerical cognition in
honeybees enables addition and subtraction. Sci. Adv. 5, eaav0961 (2019)
7. Rathore, H.: Mapping Biological Systems to Network Systems. Springer, Cham (2016).
https://doi.org/10.1007/978-3-319-29782-8
8. Bagheri, Z.M., Cazzolato, B.S., Grainger, S., O’Carroll, D.C., Wiederman, S.D.: An
autonomous robot inspired by insect neurophysiology pursues moving features in natural
environments. J. Neural Eng. 14, 46030 (2017)
9. Philippides, A., Steadman, N., Dewar, A., Walker, C., Graham, P.: Insect-inspired visual
navigation for flying robots. In: Lepora, N.F.F., Mura, A., Mangan, M., Verschure, P.F.F.M.J.,
Desmulliez, M., Prescott, T.J.J. (eds.) Living Machines 2016. LNCS (LNAI), vol. 9793,
pp. 263–274. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42417-0_24
10. Mountcastle, A.M., Alexander, T.M., Switzer, C.M., Combes, S.A.: Wing wear reduces bumblebee flight performance in a dynamic obstacle course. Biol. Let. (2016). https://doi.org/10.
1098/rsbl.2016.0294
11. Osborne, J.L., Smith, A., Clark, S.J., Reynolds, D.R., Barron, M.C., Lim, K.S., Reynolds,
A.M.: The ontogeny of bumblebee flight trajectories: from naïve explorers to experienced
foragers. PLoS One (2013). https://doi.org/10.1371/journal.pone.0078681
12. Zabala, F.A., Card, G.M., Fontaine, E.I., Dickinson, M.H., Murray, R.M.: Flight dynamics
and control of evasive maneuvers: the fruit fly’s takeoff. IEEE Trans. Bio-Med. Eng. 56,
2295–2298 (2009)
13. Muijres, F.T., Elzinga, M.J., Melis, J.M., Dickinson, M.H.: Flies evade looming targets by
executing rapid visually directed banked turns. Science 344, 172 (2014)
14. Kern, R., Boeddeker, N., Dittmarand, L., Egelhaaf, M.: Blowfly flight characteristics are
shaped by environmental features and controlled by optic flow information. J. Exp. Biol. 215,
2501 (2012)
15. Pittner, M., Hiller, M., Particke, F., Patino-Studencki. L., Thielecke, J.: Systematic analysis of
global and local planners for optimal trajectory planning. In: 50th International Symposium
on Robotics, ISR 2018 (2018)
16. Kim, C.-H., Lee, T.-J., Cho, D.: An Application of stereo camera with two different FoVs for
SLAM and obstacle detection. IFAC Pap. OnLine 51, 148–153 (2018)
17. Aguilar, W.G., Casaliglla, V.P., Pólit, J.L.: Obstacle avoidance based-visual navigation for
micro aerial vehicles. Electronics 6, 10 (2017)
18. García, J., Molina, J.M.: Simulation in real conditions of navigation and obstacle avoidance
with PX4/Gazebo platform. Pers. Ubiquit. Comput. (2020). https://doi.org/10.1007/s00779019-01356-4
19. Baumann, T.: Obstacle Avoidance for Drones Using a 3DVFH Algorithm. Masters thesis
(2018)
A. Thoma et al.
References
1. Han, J., Hui, Z., Tian, F., Cen, G.: Review on bio-inspired flight systems and bionic
aerodynamics. Chin. J. Aeronaut. (in press, 2020)
2. Cheng, K., Middleton, E.J.T., Wehner, R.: Vector-based and landmark-guided navigation in
desert ants of the same species inhabiting landmark-free and landmark-rich environments. J.
Exp. Biol. 215, 3169–3174 (2012)
3. Ravi, S., et al.: Gap perception in bumble bees. J. Exp. Biol. (2019). https://doi.org/10.1242/
jeb.184135
4. Lihoreau, M., Chittka, L., Le Comber, S.C., Raine, N.E.: Bees do not use nearest-neighbour
rules for optimization of multi-location routes. Biol. Let. 8, 13–16 (2012)
5. Loukola, O.J., Perry, C.J., Coscos, L., Chittka, L.: Bumblebees show cognitive flexibility by
improving on an observed complex behavior. Science (New York, NY) 355, 833–836 (2017)
6. Howard, S., Avarguès-Weber, A., Garcia, J., Greentree, A., Dyer, A.: Numerical cognition in
honeybees enables addition and subtraction. Sci. Adv. 5, eaav0961 (2019)
7. Rathore, H.: Mapping Biological Systems to Network Systems. Springer, Cham (2016).
https://doi.org/10.1007/978-3-319-29782-8
8. Bagheri, Z.M., Cazzolato, B.S., Grainger, S., O’Carroll, D.C., Wiederman, S.D.: An
autonomous robot inspired by insect neurophysiology pursues moving features in natural
environments. J. Neural Eng. 14, 46030 (2017)
9. Philippides, A., Steadman, N., Dewar, A., Walker, C., Graham, P.: Insect-inspired visual
navigation for flying robots. In: Lepora, N.F.F., Mura, A., Mangan, M., Verschure, P.F.F.M.J.,
Desmulliez, M., Prescott, T.J.J. (eds.) Living Machines 2016. LNCS (LNAI), vol. 9793,
pp. 263–274. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42417-0_24
10. Mountcastle, A.M., Alexander, T.M., Switzer, C.M., Combes, S.A.: Wing wear reduces bumblebee flight performance in a dynamic obstacle course. Biol. Let. (2016). https://doi.org/10.
1098/rsbl.2016.0294
11. Osborne, J.L., Smith, A., Clark, S.J., Reynolds, D.R., Barron, M.C., Lim, K.S., Reynolds,
A.M.: The ontogeny of bumblebee flight trajectories: from naïve explorers to experienced
foragers. PLoS One (2013). https://doi.org/10.1371/journal.pone.0078681
12. Zabala, F.A., Card, G.M., Fontaine, E.I., Dickinson, M.H., Murray, R.M.: Flight dynamics
and control of evasive maneuvers: the fruit fly’s takeoff. IEEE Trans. Bio-Med. Eng. 56,
2295–2298 (2009)
13. Muijres, F.T., Elzinga, M.J., Melis, J.M., Dickinson, M.H.: Flies evade looming targets by
executing rapid visually directed banked turns. Science 344, 172 (2014)
14. Kern, R., Boeddeker, N., Dittmarand, L., Egelhaaf, M.: Blowfly flight characteristics are
shaped by environmental features and controlled by optic flow information. J. Exp. Biol. 215,
2501 (2012)
15. Pittner, M., Hiller, M., Particke, F., Patino-Studencki. L., Thielecke, J.: Systematic analysis of
global and local planners for optimal trajectory planning. In: 50th International Symposium
on Robotics, ISR 2018 (2018)
16. Kim, C.-H., Lee, T.-J., Cho, D.: An Application of stereo camera with two different FoVs for
SLAM and obstacle detection. IFAC Pap. OnLine 51, 148–153 (2018)
17. Aguilar, W.G., Casaliglla, V.P., Pólit, J.L.: Obstacle avoidance based-visual navigation for
micro aerial vehicles. Electronics 6, 10 (2017)
18. García, J., Molina, J.M.: Simulation in real conditions of navigation and obstacle avoidance
with PX4/Gazebo platform. Pers. Ubiquit. Comput. (2020). https://doi.org/10.1007/s00779019-01356-4
19. Baumann, T.: Obstacle Avoidance for Drones Using a 3DVFH Algorithm. Masters thesis
(2018)