A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot

Research article (Electronics Letters, 2023) · cited 27× · AI/ML
Press Enter · cited answer in seconds

A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot

Summary

A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot is a scholarly article[1].

Key Facts

  • A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot's instance of is recorded as scholarly article[2].

📑 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). A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf
MLA “A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf.
BibTeX @misc{4ortxyz_a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot — https://4ort.xyz/entity/a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-novel-approach-to-compensate-delay-in-communication-by-predicting-teleoperator-behaviour-using-deep-learning-and-reinf · Last refreshed: