Publication: User-Conditioned Neural Control Policies for Mobile Robotics
User-Conditioned Neural Control Policies for Mobile Robotics
Date
Date
Date
Citations
Bauersfeld, L., Kaufmann, E., & Scaramuzza, D. (2023). User-Conditioned Neural Control Policies for Mobile Robotics. Proceedings of the IEEE International Conference on Robotics and Automation, 2023-May, 1342–1348. https://doi.org/10.1109/ICRA48891.2023.10160851
Abstract
Abstract
Abstract
Recently, learning-based controllers have been shown to push mobile robotic systems to their limits and provide the robustness needed for many real-world applications. However, only classical optimization-based control frameworks offer the inherent flexibility to be dynamically adjusted during execution by, for example, setting target speeds or actuator limits. We present a framework to overcome this shortcoming of neural controllers by conditioning them on an auxiliary input. This advance is enabled by including a feature-wise linear
Additional indexing
Creators (Authors)
- Bauersfeld, Leonard
- Kaufmann, Elia
- Scaramuzza, Davide
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page Range
Page Range
Page Range
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Scope
Scope
Scope
Language
Language
Language
Date available
Date available
Date available
Series Name
Series Name
Series Name
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
OA Status
OA Status
OA Status
Publisher DOI
Citations
Bauersfeld, L., Kaufmann, E., & Scaramuzza, D. (2023). User-Conditioned Neural Control Policies for Mobile Robotics. Proceedings of the IEEE International Conference on Robotics and Automation, 2023-May, 1342–1348. https://doi.org/10.1109/ICRA48891.2023.10160851
