About the Journal
Journal of Perception and ControlΒ is an international open-access journal devoted to promoting cutting-edge research and interdisciplinary innovation at the intersection of perception and control. The journal aims to advance both theoretical foundations and practical applications, fostering collaboration across fields such as robotics, automation, computer vision, sensor technology, and intelligent systems.
Scope
The journal welcomes original research, reviews, and short communications in, but not limited to, the following areas:
- Sensor-based Perception: Sensor fusion, calibration, and environmental understanding using LiDAR, radar, cameras, etc.
- Computer Vision & Image Processing: Image enhancement, 3D reconstruction, motion analysis, and deep learning-based vision.
- Audio & Speech Perception: Speech recognition, auditory scene analysis, and multimodal audio-visual integration.
- Multimodal Perception: Fusion of visual, audio, haptic, and olfactory signals for robust perception systems.
- Control Theory: Classical and modern approaches including MPC, adaptive, robust, and intelligent control.
- Robotics & Automation: Motion control, path planning, and autonomous system design with integrated perception.
- Process & Vehicle Control: Control systems for industrial processes and vehicles (automotive, aerospace, marine).
- Perception-Enabled Control: Real-time perception-informed control in robotics and smart manufacturing.
- Control-Informed Perception: Active perception guided by control strategies.
- Smart System Applications: Integrated perception-control in smart cities, healthcare, and intelligent environments.
