Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied
agents. The core concept—reusing prior knowledge to learn in and from novel situations—is …

Building general-purpose robots that operate seamlessly in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …

This systematic literature review and meta-analysis illuminate the transformative potential of
multisensory literacy instruction within the domain of literacy education. Drawing from a …

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 …

A holistic understanding of object properties across diverse sensory modalities (eg, visual,
audio, and haptic) is essential for tasks ranging from object categorization to complex …

Robots frequently need to perceive object attributes, such as red, heavy, and empty, using
multimodal exploratory behaviors, such as look, lift, and shake. One possible way for robots …

Embodied intelligence needs haptic sensing for spontaneous and accurate material
recognition. The haptic sensing module of an intelligent system can acquire material data …

We need to look at our shoelaces as we first learn to tie them but having mastered this skill,
can do it from touch alone. We call this phenomenon" sensory scaffolding": observation …

Humans learn about objects via interaction and using multiple perceptions, such as vision,
sound, and touch. While vision can provide information about an object's appearance, non …