A survey of embodied ai: From simulators to research tasks
There has been an emerging paradigm shift from the era of “internet AI” to “embodied AI,”
where AI algorithms and agents no longer learn from datasets of images, videos or text …
where AI algorithms and agents no longer learn from datasets of images, videos or text …
Aligning cyber space with physical world: A comprehensive survey on embodied ai
Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Ai2-thor: An interactive 3d environment for visual ai
E Kolve, R Mottaghi, W Han, E VanderBilt… - arXiv preprint arXiv …, 2017 - arxiv.org
We introduce The House Of inteRactions (THOR), a framework for visual AI research,
available at http://ai2thor. allenai. org. AI2-THOR consists of near photo-realistic 3D indoor …
available at http://ai2thor. allenai. org. AI2-THOR consists of near photo-realistic 3D indoor …
Lemma: Learning language-conditioned multi-robot manipulation
Complex manipulation tasks often require robots with complementary capabilities to
collaborate. We introduce a benchmark for L anguag E-Conditioned M ulti-robot MA …
collaborate. We introduce a benchmark for L anguag E-Conditioned M ulti-robot MA …
Embodied semantic scene graph generation
Semantic scene graph provides an effective way for intelligent agents to better understand
the environment and it has been extensively used in many robotic applications. Existing …
the environment and it has been extensively used in many robotic applications. Existing …
Eqa-mx: Embodied question answering using multimodal expression
Humans predominantly use verbal utterances and nonverbal gestures (eg, eye gaze and
pointing gestures) in their natural interactions. For instance, pointing gestures and verbal …
pointing gestures) in their natural interactions. For instance, pointing gestures and verbal …
Deep learning for embodied vision navigation: A survey
" Embodied visual navigation" problem requires an agent to navigate in a 3D environment
mainly rely on its first-person observation. This problem has attracted rising attention in …
mainly rely on its first-person observation. This problem has attracted rising attention in …
Knowledge-based embodied question answering
In this paper, we propose a novel Knowledge-based Embodied Question Answering (K-
EQA) task, in which the agent intelligently explores the environment to answer various …
EQA) task, in which the agent intelligently explores the environment to answer various …
[PDF][PDF] Embodied Multi-Agent Task Planning from Ambiguous Instruction.
In human-robots collaboration scenarios, a human would give robots an instruction that is
intuitive for the human himself to accomplish. However, the instruction given to robots is …
intuitive for the human himself to accomplish. However, the instruction given to robots is …
MQA: Answering the question via robotic manipulation
In this paper, we propose a novel task, Manipulation Question Answering (MQA), where the
robot performs manipulation actions to change the environment in order to answer a given …
robot performs manipulation actions to change the environment in order to answer a given …