Home › Entities › academia › Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning

Research article (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016) · cited 75× · AI/ML
academia openalex:W4235910938
Press Enter · cited answer in seconds

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning

Summary

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning is a scholarly article[1].

Key Facts

  • Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning
MLA “Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning.
BibTeX @misc{4ortxyz_self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning}}, year = {2026}, url = {https://4ort.xyz/entity/self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning — https://4ort.xyz/entity/self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/self-supervised-regrasping-using-spatio-temporal-tactile-features-and-reinforcement-learning · Last refreshed: