Self-protection Method for Flying Robots to Avoid Collision

This paper provides a new approach to solve the motion planning problems of flying robots in uncertain 3D dynamic environments. The robots controlled by this method can adaptively choose the fast way to avoid collision without information about the shapes and trajectories of obstacles. Based on sphere coordinates the new method accomplishes collision avoidance of flying robots without any other auxiliary positioning systems. The Self-protection System gives robots self-protection abilities to work in uncertain 3D dynamic environments. Simulations illustrate the validity of the proposed method.





References:
[1] Y.Wang, L. Han, M. Li, Q.Wang, J. Zhou, M. Cartmell, "A real-time
path planning approach without the computation of Cspace obstacles,"
Robotica, vol. 22, pp. 173-187, 2004.
[2] O.Khatib, "Real-time obstacle for manipulators and mobile robot," The
Int. J. Robotic Research, vol. 5, no. 1, pp. 90-99, 1986.
[3] Holland J.H., "Genetic algorithms and the optimal allocations of trails,"
SIAM J. of Computing, vol. 2, no. 2, pp. 88-105, 1973.
[4] Fox, D., Burgard, W. and Thrun, S., "The Dynamic Window Approach
to Collision Avoidance," IEEE J. Robotics and Automation, vol. 4, no. 1,
pp. 23-33, 1997.
[5] O. Brock, O. Khatib, "High-speed navigation using the global dynamic
window approach," Proc. the IEEE Int. Conf. on Robotics and
Automation, vol. 1, pp. 341-346, 1999.
[6] Xing-Jian Jing, "Behavior dynamics based motion planning of mobile
robots in uncertain dynamic environments," Robotics and Autonomous
Systems, vol. 53, pp. 99-123, 2005.
[7] Asimov I, Fredkel K A, Robots: Machines in Man-s Image. New York:
Harmony Books, 1985.
[8] M. Kise, Q. Zhang, N. Noguchi, "An Obstacle Identification Algorithm
for a Laser Range Finder-Based Obstacle Detector," Trans. the ASAE,
vol. 48, no. 3, pp. 1269-1278, 2005.
[9] Arras, K. O., N. Tomatis, B. T. Jensen and R. Siegwart, "Multisensor
on-the-fly localization: Precision and reliability for applications,"
Robotics and Autonomous Systems, vol. 34, no. 2-3, pp. 131-143, 2001.