About this Research Topic
Embodied Artificial Intelligence (Embodied AI) represents a paradigm shift in robotics research, emphasizing the integration of sensorimotor capabilities and environmental interaction as fundamental to intelligent behavior. As robots increasingly infiltrate our daily lives, from factories to homes and healthcare facilities, their ability to perceive, understand, and respond to complex environments and human intentions becomes paramount. Advances in sensor technologies, machine learning algorithms, and computational models have fueled significant progress in this domain, yet numerous challenges remain in achieving truly embodied intelligence that seamlessly blends into human society.
The goal of this research topic to address the pressing challenges and opportunities in advancing the frontiers of robot sensing and interaction within the Embodied AI framework. The problem we aim to address is the gap between current robotic systems' limited capabilities in accurately perceiving and dynamically interacting with dynamic, uncertain, and socially rich environments, and the need for robots that can seamlessly integrate into our daily lives as trusted partners. To achieve this, we seek to explore innovative approaches that leverage the latest advancements in sensor technologies, deep learning, cognitive modeling, and human-robot interaction principles to enable robots to perceive, reason, and act in a more embodied and adaptive manner.
The scope of this Research Topic encompasses a broad range of research topics at the intersection of Embodied AI, robot sensing, and human-robot interaction. We invite contributions that address, but are not limited to, the following themes:
1. Advanced Sensor Fusion and Perception.
2. Cognitive Models for Embodied Interaction.
3. Deep Learning for Embodied Intelligence.
4. Social Robotics and Human-Robot Interaction.
5. Navigation and manipulation in Embodied AI.
We are interested in manuscripts of various types, including but not limited to: original research articles, review articles summarizing recent advances and future directions, case studies showcasing successful applications, and perspectives/opinion pieces discussing emerging trends and challenges in the field. Authors are encouraged to submit work that pushes the boundaries of Embodied AI and contributes to advancing the state-of-the-art in robot sensing and interaction.
The goal of this research topic to address the pressing challenges and opportunities in advancing the frontiers of robot sensing and interaction within the Embodied AI framework. The problem we aim to address is the gap between current robotic systems' limited capabilities in accurately perceiving and dynamically interacting with dynamic, uncertain, and socially rich environments, and the need for robots that can seamlessly integrate into our daily lives as trusted partners. To achieve this, we seek to explore innovative approaches that leverage the latest advancements in sensor technologies, deep learning, cognitive modeling, and human-robot interaction principles to enable robots to perceive, reason, and act in a more embodied and adaptive manner.
The scope of this Research Topic encompasses a broad range of research topics at the intersection of Embodied AI, robot sensing, and human-robot interaction. We invite contributions that address, but are not limited to, the following themes:
1. Advanced Sensor Fusion and Perception.
2. Cognitive Models for Embodied Interaction.
3. Deep Learning for Embodied Intelligence.
4. Social Robotics and Human-Robot Interaction.
5. Navigation and manipulation in Embodied AI.
We are interested in manuscripts of various types, including but not limited to: original research articles, review articles summarizing recent advances and future directions, case studies showcasing successful applications, and perspectives/opinion pieces discussing emerging trends and challenges in the field. Authors are encouraged to submit work that pushes the boundaries of Embodied AI and contributes to advancing the state-of-the-art in robot sensing and interaction.
Keywords: Embodied AI, robot perception, human-robot interaction, sensor fusion, cognitive robotics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
