Page 262 - 2024-Vol20-Issue2

258 |
[25] T. K. Morimoto, J. J. Cerrolaza, M. H. Hsieh, K. Cleary,
A. M. Okamura, and M. G. Linguraru, “Design of
patient-specific concentric tube robots using path plan-
ning from 3-d ultrasound,” in 2017 39th Annual Interna-
tional Conference of the IEEE Engineering in Medicine
and Biology Society (EMBC), pp. 165–168, 2017.
[26] H.-M. Gross et al., “Robot companion for domes-
tic health assistance: Implementation, test and case
study under everyday conditions in private apartments,”
in IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS), pp. 5992–5999, 2015.
[27] M. Gillham, B. McElroy, G. Howells, S. Kelly, S. Spur-
geon, and M. Pepper, “Weightless neural system em-
ploying simple sensor data for efficient real-time round-
corner, junction and doorway detection for autonomous
system path planning in smart robotic assisted healthcare
wheelchairs,” in IEEE Third International Conference
on Emerging Security Technologies, pp. 161–164, 2012.
[28] Y. Zhu, A. Smith, and K. Hauser, “Informative path
planning for automatic robotic auscultation,” in ICRA
2021 Workshop on Impact of COVID-19 on Medical
Robotics and Wearables Research, 2021.
[29] P. Manikandan, G. Ramesh, G. Likith, D. Sreekanth,
and G. D. Prasad, “Smart nursing robot for covid-19
patients,” in IEEE International Conference on Advance
Computing and Innovative Technologies in Engineering
(ICACITE), pp. 839–842, 2021.
[30] B. Wang, Z. Liu, Q. Li, and A. Prorok, “Mobile robot
path planning in dynamic environments through glob-
ally guided reinforcement learning,” IEEE Robotics and
Automation Letters, vol. 5, no. 4, pp. 6932–6939, 2020.
[31] K. J. O’Hara and T. R. Balch, “Distributed path planning
for robots in dynamic environments using a pervasive
embedded network,” in IEEE the Third International
Joint Conference on Autonomous Agents and Multiagent
Systems, AAMAS 2004, pp. 1538–1539, 2004.
[32] X. Zhong, J. Tian, H. Hu, and X. Peng, “Hybrid path
planning based on safe a* algorithm and adaptive win-
dow approach for mobile robot in large-scale dynamic
environment,” Journal of Intelligent & Robotic Systems,
vol. 99, pp. 65–77, 2020.
[33] Z. Du, D. Qu, F. Xu, and D. Xu, “A hybrid approach
for mobile robot path planning in dynamic environ-
ments,” in IEEE International Conference on Robotics
and Biomimetics (ROBIO), pp. 1058–1063, 2007.
Sabeeh & Al-Furati
[34] C. Zhou, B. Huang, and P. Fra¨nti, “A review of motion
planning algorithms for intelligent robots,” Journal of
Intelligent Manufacturing, vol. 33, no. 2, pp. 387–424,
2022.
[35] K. Karur, N. Sharma, C. Dharmatti, and J. E. Siegel, “A
survey of path planning algorithms for mobile robots,”
Vehicles, vol. 3, no. 3, pp. 448–468, 2021.
[36] S. M. LaValle, Planning algorithms. Cambridge Univer-
sity Press, 2006.
[37] P. Navya and R. Ranjith, “Analysis of path planning
algorithms for service robots in hospital environment,”
in IEEE International Conference on Computing Com-
munication and Networking Technologies (ICCCNT),
pp. 1–6, 2021.
[38] S. Chen, “Kalman filter for robot vision: a survey,” IEEE
Transactions on Industrial Electronics, vol. 59, no. 11,
pp. 4409–4420, 2011.
[39] A. Guttman, “R-trees: A dynamic index structure for
spatial searching,” in Proceedings of the 1984 ACM
SIGMOD international conference on Management of
data, pp. 47–57, 1984.
[40] M. W. Spong, S. Hutchinson, and M. Vidyasagar, Robot
modeling and control. John Wiley & Sons, 2020.
[41] H. Choset, K. M. Lynch, S. Hutchinson, G. A. Kantor,
and W. Burgard, Principles of robot motion: Theory,
algorithms, and implementations. MIT Press, 2005.
[42] M. Wahde, “Introduction to autonomous robots.” Lec-
ture Notes from the course Autonomous Agents,
Chalmers University of Technology, 2012.
[43] P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis
for the heuristic determination of minimum cost paths,”
IEEE Transactions on Systems Science and Cybernetics,
vol. 4, no. 2, pp. 100–107, 1968.
[44] J. R. Sampson, “Adaptation in natural and artificial sys-
tems (john h. holland).” Society for Industrial and Ap-
plied Mathematics, 1976.
[45] M. S. Arulampalam, S. Maskell, N. Gordon, and
T. Clapp, “A tutorial on particle filters for online
nonlinear/non-gaussian bayesian tracking,” IEEE Trans-
actions on Signal Processing, vol. 50, no. 2, pp. 174–188,
2002.