2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia, Rohan Sinha, Jingyun Yang +4
Robot behavior policies trained via imitation learning are prone to failure under conditions that deviate from their training data. Thus, algorithms that monitor learned policies a…
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia +6
The landscape of Deep Learning has experienced a major shift with the pervasive adoption of Transformer-based architectures, particularly in Natural Language Processing (NLP). Nove…
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
Jakob Thumm, Christopher Agia, Marco Pavone +1
Adjusting robot behavior to human preferences can require intensive human feedback, preventing quick adaptation to new users and changing circumstances. Moreover, current approache…
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications
Matthew Foutter, Daniele Gammelli, Justin Kruger +5
Foundation Models (FMs), e.g., large language models, possess attributes of intelligence which offer promise to endow a robot with the contextual understanding necessary to navigat…
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay +9
To extend the limited scope of autonomy used in prior missions for operation in distant and complex environments, there is a need to further develop and mature autonomy that jointl…