Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Triantafyllidis, Eleftherios
20  Ergebnisse:
Personensuche X
?
1

Identifying important sensory feedback for learning locomot..:

Yu, Wanming ; Yang, Chuanyu ; McGreavy, Christopher...
Nature Machine Intelligence.  5 (2023)  8 - p. 919-932 , 2023
Link: https://doi.org/10.1038/..
 
?
2

Modular Neural Network Policies for Learning In-Flight Obje..:

, In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Hu, Wenbin ; Acero, Fernando ; Triantafyllidis, Eleftherios.. - p. 944-951 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Hybrid hierarchical learning for solving complex sequential..:

Triantafyllidis, Eleftherios ; Acero, Fernando ; Liu, Zhaocheng.
Nature Machine Intelligence.  5 (2023)  9 - p. 991-1005 , 2023
Link: https://doi.org/10.1038/..
 
?
4

The Challenges in Modeling Human Performance in 3D Space wi..:

, In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems,
Triantafyllidis, Eleftherios ; Li, Zhibin - p. 1-9 , 2021
Link: https://dl.acm.org/doi/1..
 
?
5

Study of Multimodal Interfaces and the Improvements on Tele..:

Triantafyllidis, Eleftherios ; Mcgreavy, Christopher ; Gu, Jiacheng.
IEEE Access.  8 (2020)  - p. 78213-78227 , 2020
Link: https://doi.org/10.1109/..
 
?
6

Hybrid hierarchical learning for solving complex sequential..:

Triantafyllidis, Eleftherios ; Acero, Fernando ; Liu, Zhaocheng.
https://discovery.ucl.ac.uk/id/eprint/10177098/1/s42256-023-00709-2.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
?
7

RObotic MAnipulation Network (ROMAN) $\unicode{x2013}$ Hybr..:

Triantafyllidis, Eleftherios ; Acero, Fernando ; Liu, Zhaocheng.
http://arxiv.org/abs/2307.00125.  , 2023
Link: http://arxiv.org/abs/230..
 
?
8

Identifying Important Sensory Feedback for Learning Locomot..:

Yu, Wanming ; Yang, Chuanyu ; McGreavy, Christopher...
http://arxiv.org/abs/2306.17101.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

Identifying important sensory feedback for learning locomot..:

Yu, Wanming ; Yang, Chuanyu ; McGreavy, Christopher...
https://discovery.ucl.ac.uk/id/eprint/10177099/1/s42256-023-00701-w.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
?
10

Intrinsic Language-Guided Exploration for Complex Long-Hori..:

Triantafyllidis, Eleftherios ; Christianos, Filippos ; Li, Zhibin
http://arxiv.org/abs/2309.16347.  , 2023
Link: http://arxiv.org/abs/230..
 
?
11

Modular Neural Network Policies for Learning In-Flight Obje..:

Hu, Wenbin ; Acero, Fernando ; Triantafyllidis, Eleftherios..
http://arxiv.org/abs/2312.13987.  , 2023
Link: http://arxiv.org/abs/231..
 
?
12

Considerations and Challenges of Measuring Operator Perform..:

Triantafyllidis, Eleftherios ; Li, Zhibin
http://arxiv.org/abs/2103.12702.  , 2021
Link: http://arxiv.org/abs/210..
 
?
13

The Challenges in Modeling Human Performance in 3D Space wi..:

Triantafyllidis, Eleftherios ; Li, Zhibin
http://arxiv.org/abs/2101.00260.  , 2021
Link: http://arxiv.org/abs/210..
 
?
14

Metrics for 3D Object Pointing and Manipulation in Virtual ..:

Triantafyllidis, Eleftherios ; Hu, Wenbin ; McGreavy, Christopher.
http://arxiv.org/abs/2106.06655.  , 2021
Link: http://arxiv.org/abs/210..
 
?
15

Multimodal Interfaces for Effective Teleoperation:

Triantafyllidis, Eleftherios ; McGreavy, Christopher ; Gu, Jiacheng.
http://arxiv.org/abs/2003.14392.  , 2020
Link: http://arxiv.org/abs/200..
 
1-15