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Search-based motion planning has been used for mobile robots in many applications.
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1989
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J. Reif and M. Sharir, “Motion planning in the presence of moving obstacles,” Journal of the ACM (JACM) , vol. 41, no. 4, pp. 764–790, 1994
1994
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A. Stentz, “Optimal and efficient path planning for partially-known environments,” in Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on . IEEE, 1994, pp. 3310–3317
1994
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P. Fiorini and Z. Shiller, “Motion planning in dynamic environments using velocity obstacles,” The International Journal of Robotics Research , vol. 17, no. 7, pp. 760–772, 1998
1998
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D. Hsu, R. Kindel, J.-C. Latombe, and S. Rock, “Randomized kinodynamic motion planning with moving obstacles,” The International Journal of Robotics Research , vol. 21, no. 3, pp. 233–255, 2002
2002
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S. Koenig and M. Likhachev, “D* lite,” in Eighteenth national conference on Artificial intelligence . American Association for Artificial Intelligence, 2002, pp. 476–483
2002
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S. Koenig, M. Likhachev, and D. Furcy, “Lifelong planning a*,” Artificial Intelligence , vol. 155, no. 1-2, pp. 93–146, 2004
2004
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N. Ratliff, M. Zucker, J. A. Bagnell, and S. Srinivasa, “Chomp: Gradient optimization techniques for efficient motion planning,” in Robotics and Automation, 2009. ICRA’09. IEEE International Conference on . IEEE, 2009, pp. 489–494
2009
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R. Tedrake, I. R. Manchester, M. Tobenkin, and J. W. Roberts, “Lqr-trees: Feedback motion planning via sums-of-squares verification,” The International Journal of Robotics Research , vol. 29, no. 8, pp. 1038–1052, 2010
2010
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T. Lee, M. Leoky, and N. H. McClamroch, “Geometric tracking control of a quadrotor uav on se (3),” in 49th IEEE conference on decision and control (CDC) . IEEE, 2010, pp. 5420–5425
2010
Cited alongside, same era.
D. Mellinger and V. Kumar, “Minimum snap trajectory generation and control for quadrotors,” in Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA) , 2011
2011
Cited alongside, same era.
M. Hehn and R. D’Andrea, “Quadrocopter trajectory generation and control,” IFAC Proceedings Volumes , vol. 44, no. 1, 2011
2011
Cited alongside, same era.
H. Adeli, M. Tabrizi, A. Mazloomian, E. Hajipour, and M. Jahed, “Path planning for mobile robots using iterative artificial potential field method,” International Journal of Computer Science Issues (IJCSI) , vol. 8, no. 4, p. 28, 2011
2011
Cited alongside, same era.
M. Mueller, M. Hehn, and R. D’Andrea, “A computationally efficient motion primitive for quadrocopter trajectory generation,” IEEE Trans. on Robotics (T-RO) , vol. 31, no. 6, pp. 1294–1310, 2015
2015
Later among the works it cites.
R. Deits and R. Tedrake, “Computing large convex regions of obstacle-free space through semidefinite programming,” in Algorithmic Foundations of Robotics XI . Springer, 2015, pp. 109–124
2015
Later among the works it cites.
C. Richter, A. Bry, and N. Roy, “Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,” in Robotics Research . Springer, 2016, pp. 649–666
2016
Later among the works it cites.
H. Oleynikova, M. Burri, Z. Taylor, J. Nieto, R. Siegwart, and E. Galceran, “Continuous-time trajectory optimization for online uav replanning,” in Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on . IEEE, 2016, pp. 5332–5339
2016
Later among the works it cites.
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M. Phillips and M. Likhachev, “Sipp: Safe interval path planning for dynamic environments,” in 2011 IEEE International Conference on Robotics and Automation , May 2011, pp. 5628–5635
2011
Cited alongside, same era.
J. Van Den Berg, S. J. Guy, M. Lin, and D. Manocha, “Reciprocal n-body collision avoidance,” in Robotics research . Springer, 2011, pp. 3–19
2011
Cited alongside, same era.
R. Luna and K. E. Bekris, “Efficient and complete centralized multi-robot path planning,” in Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on . IEEE, 2011, pp. 3268–3275
2011
Cited alongside, same era.
G. Li, Y. Tamura, A. Yamashita, and H. Asama, “Effective improved artificial potential field-based regression search method for autonomous mobile robot path planning,” International Journal of Mechatronics and Automation , vol. 3, no. 3, pp. 141–170, 2013
2013
Cited alongside, same era.
M. Turpin, N. Michael, and V. Kumar, “CAPT: Concurrent assignment and planning of trajectories for multiple robots,” The International Journal of Robotics Research , vol. 33, no. 1, pp. 98–112, 2014
2014
Cited alongside, same era.
J. P. van den Berg and M. H. Overmars, “Planning the shortest safe path amidst unpredictably moving obstacles.”
Cited in the paper.
J. van Den Berg, J. Snoeyink, M. C. Lin, and D. Manocha, “Centralized path planning for multiple robots: Optimal decoupling into sequential plans.”
Cited in the paper.
F. Gao, Y. Lin, and S. Shen, “Gradient-based online safe trajectory generation for quadrotor flight in complex environments,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Sept 2017, pp. 3681–3688
2017
Later among the works it cites.
S. Liu, M. Watterson, K. Mohta, K. Sun, S. Bhattacharya, C. J. Taylor, and V. Kumar, “Planning dynamically feasible trajectories for quadrotors using safe flight corridors in 3-d complex environments,” IEEE Robotics and Automation Letters , vol. 2, no. 3, pp. 1688–1695, 2017
2017
Later among the works it cites.
S. Liu, N. Atanasov, K. Mohta, and V. Kumar, “Search-based motion planning for quadrotors using linear quadratic minimum time control,” in Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on . IEEE, 2017, pp. 2872–2879
2017
Later among the works it cites.
2017
Later among the works it cites.
S. Liu, K. Mohta, N. Atanasov, and V. Kumar, “Search-based motion planning for aggressive flight in se(3),” IEEE Robotics and Automation Letters , vol. 3, no. 3, pp. 2439–2446, July 2018
2018
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