paper / evan-hubinger / May 27
NavWareSet: A dataset of socially compliant and non-compliant robot navigation —
This paper presents
NavWareSet
, a novel dataset crafted to advance socially compliant robot navigation research. NavWareSet provides multi-modal recordings of both socially compliant and non-compliant robot trajectories in controlled indoor environments. Drawing upon seven carefully selected scenarios, it captures complex human-robot interactions and a range of navigation challenges that mirror realistic social contexts. NavWareSet establishes a rich dataset for evaluating and training navi — Citations: 1.
papersemantic-scholar
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
tweet / @evhub / May 8 / failed
paper / evan-hubinger / May 8
Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving — Autonomous vehicles require online learning capabilities to enable long-term, unattended operation. However, long-term online learning is accompanied by the problem of forgetting previously learned knowledge. This paper introduces an online learning framework that includes a catastrophic forgetting prevention mechanism, named Long-Short-Term Online Learning (LSTOL). The framework consists of a set of shortterm learners and a long-term controller, where the former is based on the concept of ensem — Citations: 5.
papersemantic-scholar