11 citations · 32 across the 12 of their papers we have counts for
4 papers · 1 filter
CAPE: Corrective Actions from Precondition Errors using Large Language Models
Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees +4
Extracting commonsense knowledge from a large language model (LLM) offers a path to designing intelligent robots. Existing approaches that leverage LLMs for planning are unable to…
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors
Eric Rosen, Doruk Senkal
In this paper, we report a hierarchical deep learning model for classification of complex human activities using motion sensors. In contrast to traditional Human Activity Recogniti…
LTL-Transfer: Skill Transfer for Temporal Task Specification
Jason Xinyu Liu, Ankit Shah, Eric Rosen +3
Deploying robots in real-world environments, such as households and manufacturing lines, requires generalization across novel task specifications without violating safety constrain…
Learning robot motor skills with mixed reality
Eric Rosen, Sreehari Rammohan, Devesh Jha
Mixed Reality (MR) has recently shown great success as an intuitive interface for enabling end-users to teach robots. Related works have used MR interfaces to communicate robot int…