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mukulika ghosh
mukulika ghosh
Assistant Professor, Missouri State University
Verified email at missouristate.edu - Homepage
Title
Cited by
Cited by
Year
Fast approximate convex decomposition using relative concavity
M Ghosh, NM Amato, Y Lu, JM Lien
Computer-Aided Design 45 (2), 494-504, 2013
782013
α-decomposition of polygons
Y Lu, JM Lien, M Ghosh, NM Amato
Computers & Graphics 36 (5), 466-476, 2012
202012
Fast collision detection for motion planning using shape primitive skeletons
M Ghosh, S Thomas, NM Amato
Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020
112020
Motion planning using hierarchical aggregation of workspace obstacles
M Ghosh, S Thomas, M Morales, S Rodriguez, NM Amato
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
62016
Hierarchical distance-based aggregation
M Ghosh, NM Amato
Texas A&M University, 2014
32014
Nearly uniform sampling on surfaces with applications to motion planning
M Ghosh, HYC Yeh, S Thomas, NM Amato
Dept. Comput. Sci., Texas A&M Univ., College Station, TX, USA, Rep. TR13-005, 2013
22013
Taming large 3d models: Approximate convex decomposition
A Tharp, M Ghosh, NM Amato
Proceedings of summer undergraduate research, 2012
22012
Minimal Path Violation Problem with Application to Fault Tolerant Motion Planning of Manipulators
A Upadhyay, M Ghosh, C Ekenna
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
12023
Geometric Approximations and their Application to Motion Planning
M Ghosh
2019
Planning Motions for Shape-Memory Alloy Sheets
D Tomkins, M Ghosh, J Denny, S Rodriguez, M Morales, NM Amato
2015
Literature Survey
A Escalante, N Amato, HY Yeh, M Ghosh
2013
Medial Axis Path Smoother, Medial Axis Visualization and Medial Axis Linkage Alignment
A Escalante, N Amato, HY Yeh, M Ghosh
2013
Fast Approximate Convex Decomposition
M Ghosh
Texas A & M University, 2012
2012
PACT 2019
A Zaks, B Motik, C Villavieja, F Aurangzeb, G Blelloch, J Huang, J Shun, ...
Application of Hierarchical Aggregation with Local Refinements to Motion Planning Problems
M Ghosh, S Thomas, NM Amato
Workspace Skeleton Tools for Motion Planning
D Ruvalcaba, K Lyons, M Ghosh, S Thomas, N Amato
Workspace Skeleton Tools for Motion Planning
K Lyons, D Ruvalcaba, M Ghosh, S Thomas, N Amato
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Articles 1–17