About this Research Topic
Recent technological advances enabled modern robots to become part of our daily life. Social robotics emerged as an exciting research topic that focuses on achieving natural interaction with people. The long-term goal of social robotics is to provide solutions that will have positive outcomes in many applications such as education, health, quality of life, entertainment, communication, and tasks requiring collaborative teamwork.
Perception plays an important role in achieving most of the goals of social robotics. Vision-based perception focuses on processing sensory information from cameras (e.g., colour, depth) to understand the environment around the robot. Although existing vision approaches perform very well in laboratory settings, we are still behind to achieve similar results in unstructured complex environments, such as home, school, and workplace. This Research Topic aims at bringing together articles targeting advanced vision problems for social robots, especially in real-world settings.
The proposed Research Topic may include, but is not limited to:
• Object Detection and Tracking
• Object Recognition
• Human Detection and Tracking
• Human Recognition
• Body-part Detection, Tracking and Pose Estimation
• Facial Expression Analysis
• Vision-based Navigation
• Vision-based Manipulation / Grasping
• Social Robots for Children
• Social Robots for Elderly
• Social Robots in Industry / Collaborative Teamwork
Keywords: Perception, Social Robots, Real-World Challenges, Machine Learning, Sensor Fusion
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.
