Computer Vision and Action Planning for Human–Robot Interaction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 158
Special Issue Editors
Interests: human–robot interaction; computer vision; motion planning; robotics
Interests: affective computing; immersive systems; human–robot interaction; computer vision
Interests: artificial intelligence; robotics; mechatronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As a multidisciplinary field, Human–Robot Interaction (HRI) is driven by the convergence of artificial intelligence, sensor and processor technology, sophisticated algorithms, and increasingly complex cognitive models. As robots become more common in daily life, researchers face increasingly complex and a wide variety of scenarios, moving HRI to new frontiers where robots and humans coexist in complex and dynamic environments. To design efficient robotic systems, researchers and developers must create safe, intuitive, and easily interpretable systems that enable humans to understand robotic behavior.
This Special Issue aims to explore the latest research and innovations on algorithms, techniques, sensor systems, and robotics platforms used to support interaction with humans.
In this context, this Special Issue intends to explore theoretical and practical approaches, aiming to provide a comprehensive overview of the state-of-the-art in computer vision and motion planning for HRI, stimulate discussions on emerging trends, and identify future research directions. We invite researchers, practitioners, and academics to join us in exploring current advancements and envision the future of HRI in our increasingly complex world.
Dr. Antonio Marin-Hernandez
Dr. Paulo Menezes
Prof. Dr. Luis Felipe Marín-Urías
Guest Editors
Manuscript Submission Information
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Keywords
- human–robot interaction
- computer vision
- motion planning
- robotics
- artificial intelligence
- perception and navigation
- machine learning
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