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Diane Uwacu
Diane Uwacu
Professor of Computer Science, Mount Holyoke College
Verified email at mtholyoke.edu - Homepage
Title
Cited by
Cited by
Year
Topology-guided roadmap construction with dynamic region sampling
R Sandström, D Uwacu, J Denny, NM Amato
IEEE Robotics and Automation Letters 5 (4), 6161-6168, 2020
222020
Improved roadmap connection via local learning for sampling based planners
C Ekenna, D Uwacu, S Thomas, NM Amato
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
212015
Evaluating guiding spaces for motion planning
A Attali, S Ashur, IB Love, C McBeth, J Motes, D Uwacu, M Morales, ...
arXiv preprint arXiv:2210.08640, 2022
42022
Studying learning techniques in different phases of prm construction
C Ekenna, D Uwacu, S Thomas, NM Amato
Machine Learning in Planning and Control of Robot Motion Workshop (IROS-MLPC …, 2015
32015
Hierarchical planning with annotated skeleton guidance
D Uwacu, A Yammanuru, M Morales, NM Amato
IEEE Robotics and Automation Letters 7 (4), 11055-11061, 2022
22022
Using guided motion planning to study binding site accessibility
D Uwacu, A Ren, S Thomas, NM Amato
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
22020
Annotated-skeleton biased motion planning for faster relevant region discovery
D Uwacu, R Rex, B Wang, S Thomas, NM Amato
arXiv preprint arXiv:2003.02176, 2020
22020
Scalable Multi-robot Motion Planning for Congested Environments With Topological Guidance
C McBeth, J Motes, D Uwacu, M Morales, NM Amato
IEEE Robotics and Automation Letters, 2023
12023
Using motion planning to evaluate protein binding site accessibility
D Uwacu, E Yang, S Thomas, NM Amato
tech. rep., Department of Computer Science, Texas A&M University, 2018
12018
The Impact of Approximate Methods on Local Learning in Motion Planning
D Uwacu, C Ekenna, S Thomas, N Amato
Robot Learning and Planning (RLP 2016), 38, 2016
12016
Hierarchical Annotated Skeleton-Guided Tree-based Motion Planning
D Uwacu, A Yammanuru, K Nallamotu, V Chalasani, M Morales, ...
arXiv preprint arXiv:2309.10801, 2023
2023
Scalable Multi-robot Motion Planning for Congested Environments Using Topological Guidance.
C McBeth, J Motes, D Uwacu, M Morales, NM Amato
CoRR, 2022
2022
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)
N Amato, C Anderson, G Chirikjian, H Chitsaz, V Desaraju, C Ekenna, ...
arXiv preprint arXiv:1610.02573, 2016
2016
Predicting Ligand Binding Sites with UOBPRM and Machine Learning
A Enem, B Porter, D Uwacu, S Thomas, N Amato
Bias-guided Metrics for Motion Planning Problems
R Rex, B Wang, D Uwacu, S Thomas, NM Amato
Metrics for Efficient Environment Exploration in Robot Motion Planning
R Rex, D Uwacu, S Thomas, NM Amato
Studying Changes in Protein Pathway Accessibility with Motion Planning
A Ren, D Uwacu, S Thomas, NM Amato
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