Embodied Intelligence: Physical Human–Robot Interaction
A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "AI in Robotics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 3860
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advancements in robotics and human–robot interaction (HRI) have led to significant progress in the realm of embodied AI, in which robots demonstrate physical behaviors and engage in complex interactions with humans and the 3D world. This evolving field holds vast potential in industries such as healthcare, manufacturing, and assistive technologies. However, the physical properties of objects, such as friction, soft bodies, and fluids, can significantly affect the precision and adaptability of robotic grasping and manipulation, especially in unstructured environments. Additionally, many existing physics-based grasping techniques rely heavily on single-forward prediction, in which a predetermined grasping pose is executed without real-time exploration or feedback. To address these limitations, it is critical to explore how robots can move beyond predefined motion tasks and intelligently adapt to dynamic conditions using physical sensors such as tactile sensors.
This Special Issue welcomes the submission of papers that explore cutting-edge approaches to embodied AI within the scope of physical human–robot interaction, intelligent grasping, exploration and feedback mechanisms. Submissions that integrate robot learning, embodied planning, vision-language understanding, tactile sensing, adaptive control strategies, and iterative feedback loops to enhance the manipulation capabilities of robotics are highly encouraged. We also welcome theoretical studies that delve into the intersection of embodied AI, dynamics, cognitive science, and interactive systems, as well as real-world applications in healthcare robotics, industrial automation, and beyond.
Dr. Mingyu Ding
Guest Editor
Manuscript Submission Information
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Keywords
- robotics
- cognitive robotics
- robot learning
- embodied AI
- tactile sensors and feedback
- physics-based grasping
- physical inference
- human–robot interaction
- physical interaction
- vision-language understanding
- soft object manipulation
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