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Base placement optimization (BPO) is a fundamental capability for mobile manipulation and has been researched for decades.
N. Vahrenkamp, T. Asfour, and R. Dillmann, “Robot placement based on reachability inversion,” in 2013 IEEE International Conference on Robotics and Automation . Karlsruhe, Germany: IEEE, May 2013, pp. 1970–1975
1975
Earlier work this paper cites.
K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Trans. Evol. Comput. , 2002
2002
Earlier work this paper cites.
E. Galceran and M. Carreras, “A survey on coverage path planning for robotics,” Robotics and Autonomous Systems , vol. 61, no. 12, pp. 1258–1276, Dec. 2013
2013
Earlier work this paper cites.
G. Paul, N. Kwok, and D. Liu, “A novel surface segmentation approach for robotic manipulator-based maintenance operation planning,” Automation in Construction , vol. 29, pp. 136–147, Jan. 2013
2013
Earlier work this paper cites.
O. Porges, T. Stouraitis, C. Borst, and M. A. Roa, “Reachability and Capability Analysis for Manipulation Tasks,” in ROBOT2013: First Iberian Robotics Conference , ser. Advances in Intelligent Systems and Computing, M. A. Armada, A. Sanfeliu, and M. Ferre, Eds. Cham: Springer International Publishing, 2014, pp. 703–718
2014
Earlier work this paper cites.
D. Martínez, G. Alenyà, and C. Torras, “Planning robot manipulation to clean planar surfaces,” Engineering Applications of Artificial Intelligence , vol. 39, pp. 23–32, Mar. 2015
2015
Cited alongside, same era.
A. M. Kabir, K. N. Kaipa, J. Marvel, and S. K. Gupta, “Automated Planning for Robotic Cleaning Using Multiple Setups and Oscillatory Tool Motions,” IEEE Transactions on Automation Science and Engineering , vol. 14, no. 3, pp. 1364–1377, Jul. 2017
2017
Cited alongside, same era.
A. Makhal and A. K. Goins, “Reuleaux: Robot Base Placement by Reachability Analysis,” Oct. 2017
2017
Cited alongside, same era.
M. Hassan, “Enabling methodologies for optimal coverage by multiple autonomous industrial robots,” Thesis, 2018
2018
Cited alongside, same era.
M. Hassan, D. Liu, and G. Paul, “Collaboration of Multiple Autonomous Industrial Robots through Optimal Base Placements,” Journal of Intelligent & Robotic Systems , vol. 90, May 2018
J. Yin, K. G. S. Apuroop, Y. K. Tamilselvam, R. E. Mohan, B. Ramalingam, and A. V. Le, “Table Cleaning Task by Human Support Robot Using Deep Learning Technique,” Sensors , vol. 20, no. 6, p. 1698, Mar. 2020
2020
Later among the works it cites.
D. Honerkamp, T. Welschehold, and A. Valada, “Learning kinematic feasibility for mobile manipulation through deep reinforcement learning,” IEEE Robotics and Automation Letters , vol. 6, no. 4, pp. 6289–6296, 2021
2021
Later among the works it cites.
I. Akinola, J. Xu, S. Song, and P. K. Allen, “Dynamic Grasping with Reachability and Motion Awareness,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Sep. 2021, pp. 9422–9429
2021
Later among the works it cites.
F. Reister, M. Grotz, and T. Asfour, “Combining Navigation and Manipulation Costs for Time-Efficient Robot Placement in Mobile Manipulation Tasks,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 9913–9920, Oct. 2022
2022
Later among the works it cites.
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2018
Cited alongside, same era.
G. Paul, S. Webb, D. Liu, and G. Dissanayake, “A Robotic System for Steel Bridge Maintenance: Field Testing,” p. 8
Cited in the paper.
F. Zacharias, C. Borst, and G. Hirzinger, “Capturing robot workspace structure: Representing robot capabilities,” in In Proc. IEEE Int. Conf. on Intelligent Robots and Systems (IROS , pp. 3229–3236
Cited in the paper.