Active end-effector pose selection for tactile object recognition through Monte Carlo tree search

Research article (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017) · cited 21× · AI/ML
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Active end-effector pose selection for tactile object recognition through Monte Carlo tree search

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Active end-effector pose selection for tactile object recognition through Monte Carlo tree search is a scholarly article[1].

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  • Active end-effector pose selection for tactile object recognition through Monte Carlo tree search's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Active end-effector pose selection for tactile object recognition through Monte Carlo tree search. Retrieved May 24, 2026, from https://4ort.xyz/entity/active-end-effector-pose-selection-for-tactile-object-recognition-through-monte-carlo-tree-search
MLA “Active end-effector pose selection for tactile object recognition through Monte Carlo tree search.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/active-end-effector-pose-selection-for-tactile-object-recognition-through-monte-carlo-tree-search.
BibTeX @misc{4ortxyz_active-end-effector-pose-selection-for-tactile-object-recognition-through-monte-carlo-tree-search_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Active end-effector pose selection for tactile object recognition through Monte Carlo tree search}}, year = {2026}, url = {https://4ort.xyz/entity/active-end-effector-pose-selection-for-tactile-object-recognition-through-monte-carlo-tree-search}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Active end-effector pose selection for tactile object recognition through Monte Carlo tree search — https://4ort.xyz/entity/active-end-effector-pose-selection-for-tactile-object-recognition-through-monte-carlo-tree-search (retrieved 2026-05-24)

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