Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Camilo Amaya
Observed name:
Lana Amaya
Institution:
Fortiss
Observed institution:
Fortiss
ORCID:
0009-0000-5081-2304
Observed ORCID:
0009-0000-5081-2304
OpenAlex ID:
A5103268477
Neurorobotic reinforcement learning for domains with parametrical uncertainty
2023
·
Lana Amaya
, Axel von Arnim
·
Frontiers in Neurorobotics
·
12
Neuromorphic force-control in an industrial task: validating energy and latency benefits
2024
·
Lana Amaya
, Evan Eames
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
7
PDF
Generating Event-Based Datasets for Robotic Applications using MuJoCo-ESIM
2023
·
Gintautas Palinauskas
, Camilo Amaya
, et al.
·
International Conference on Neuromorphic Systems (ICONS)
·
4
PDF
The more the merrier: running multiple neuromorphic components on-chip for robotic control
2026
·
Evan Eames
, Priyadarshini Kannan
, et al.
·
Neuromorphic Computing and Engineering
·
1
Spatial Correlation and Graph Neural Networks for Earth Fault Localisation on Energy Grids
2025
·
Somesh Bhattacharya
, Lana Amaya
, et al.
·
IEEE PES Innovative Smart Grid Technologies Europe
·
1
Data-driven Earth-fault Localization via Neural Network Models for Classification and Regression
2024
·
Julian Wörmann
, Lana Amaya
, et al.
·
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
·
1
Towards Transferable Deep Reinforcement Learning Policies with high Post-Deployment Performance in Smart Grids
2026
·
Cristian Cubides
, Lana Amaya
, et al.
PDF
Towards Transferable Deep Reinforcement Learning Policies with high Post-Deployment Performance in Smart Grids
2025
·
Cristian Cubides
, Lana Amaya
, et al.
·
IEEE PES Innovative Smart Grid Technologies Europe
Towards Transferable Deep Reinforcement Learning Policies with high Post-Deployment Performance in Smart Grids
2025
·
Cristian Cubides
, Lana Amaya
, et al.
PDF
Show more works
View as search
Works count:
9
Citation count:
26
H-index:
3
I10-index:
1
Year
Topic
Type