Core challenges in embodied vision-language planning
Recent advances in the areas of multimodal machine learning and artificial intelligence (AI)
have led to the development of challenging tasks at the intersection of Computer Vision …
have led to the development of challenging tasks at the intersection of Computer Vision …
RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
Abstract We leverage Large Language Models (LLM) for zeroshot Semantic Audio Visual
Navigation (SAVN). Existing methods utilize extensive training demonstrations for …
Navigation (SAVN). Existing methods utilize extensive training demonstrations for …
Multi-goal audio-visual navigation using sound direction map
H Kondoh, A Kanezaki - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Over the past few years, there has been a great deal of research on navigation tasks in
indoor environments using deep reinforcement learning agents. Most of these tasks use only …
indoor environments using deep reinforcement learning agents. Most of these tasks use only …
Learning semantic-agnostic and spatial-aware representation for generalizable visual-audio navigation
Visual-audio navigation (VAN) is attracting more and more attention from the robotic
community due to its broad applications, eg, household robots and rescue robots. In this …
community due to its broad applications, eg, household robots and rescue robots. In this …
Human-Centric AI with Common Sense
F Ilievski - Springer
Like never before and well beyond the imagination of most of us, artificial intelligence (AI)
software is increasingly becoming commonplace. Seemingly overnight, AI models that …
software is increasingly becoming commonplace. Seemingly overnight, AI models that …