2021 AAAI AAAI 2021

The Active Sensing Testbed

Abstract

Abstract The Active Sensing Testbed (AST) is a novel framework for research in machine perception and world-view rea-soning. The AST supports exploratory development of perception systems that can build internal models of the world by combining multi-view and multi-modal analyt-ics, utilize these models to form hypotheses about a sce-ne, and potentially take action to fill in gaps in knowledge or make predictions about future world states. As a modular software framework, the AST is in-tended to lower the barrier to entry for researchers and developers in applying state-of-the-art computer vision techniques to real-world problems.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Vision and Interdisciplinary and Machine Learning
🧭 Keyword Pioneer — world-view reasoning
🐣 Hot Topic Early Bird — world model
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio