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Call for papers/Topics

Topics of Interest for Submission include, but are Not Limited to:

1. Robotics

This core topic focuses on the physical mechanics, control, and execution of tasks by automated systems.

Kinematics and Dynamics
- Forward and inverse kinematics (mapping joint angles to spatial positions)
- Rigid body dynamics and acceleration forces
- Velocity kinematics and Jacobian matrices
Actuators and Drive Systems
- Electric motors (DC, brushless, stepper, servo)
- Hydraulic and pneumatic actuation systems
- Smart material actuators (Shape Memory Alloys)
Control Systems
- Feedback and feedforward control (PID controllers)
- Model Predictive Control (MPC)
- Adaptive and robust control for unpredictable environments
Robot Architectures and Form Factors
- Industrial manipulators (Articulated, SCARA, Delta robots)
- Mobile robotics (Wheeled, tracked, leg/quadrupedal)
- Unmanned Aerial Vehicles (UAVs) and Autonomous Underwater Vehicles (AUVs)
- Soft robotics and bio-inspired design

2. Image Processing

This domain deals with raw 2D data inputs, focusing on enhancing, transforming, and preparing image data for higher-level analysis.

Image Acquisition and Representation
- Digital sampling and quantization
- Color spaces (RGB, HSV, YCbCr, LAB)
- File formats, compression, and metadata
Image Enhancement and Filtering
- Spatial domain filtering (Blurring, sharpening, median filtering)
- Frequency domain processing (Fourier Transform, high-pass and low-pass filters)
- Histogram equalization and contrast adjustment
Morphological Operations
- Dilation and erosion
- Opening, closing, and skeletonization
Image Restoration and Reconstruction
- Denoising techniques
- Deconvolution and blur removal
- Tomographic reconstruction

3. Machine Vision / Computer Vision

This field acts as the bridge between raw images and cognitive understanding, extracting meaning and semantic context from visual data.

Feature Extraction and Edge Detection
- Gradient operators (Sobel, Canny, Laplacian)
- Corner detection (Harris, Shi-Tomasi)
- Scale-invariant features (SIFT, SURF, ORB)
Segmentation and Object Detection
- Thresholding and region-growing
- Contour detection and bounding boxes
- Semantic and instance segmentation
Pattern Recognition and Machine Learning
- Classical classifiers (Support Vector Machines, Random Forests)
- Deep Learning architectures (Convolutional Neural Networks, Vision Transformers)
- Object classification and tracking
3D Vision and Geometry
- Stereo vision and disparity mapping
- Structured light and Time-of-Flight (ToF) sensing
- Photogrammetry and 3D point cloud processing

4. Interrelated and Overlapping Subtopics

These subtopics represent the critical intersections where robotics, image processing, and machine vision combine to create truly intelligent, autonomous systems.

Visual Servoing (Robotics + Machine Vision)
- Position-based visual servoing (PBVS)
- Image-based visual servoing (IBVS)
- Real-time closed-loop control using camera feedback
Simultaneous Localization and Mapping - SLAM (Robotics + Vision + Processing)
- Visual SLAM (vSLAM) using monocular, stereo, or RGB-D cameras
- Feature-based vs. direct SLAM methods
- Sensor fusion (Combining vision data with IMU and wheel odometry)
Navigation and Obstacle Avoidance
- Optical flow analysis for collision avoidance
- Dynamic path planning based on real-time visual tracking
- Semantic mapping (Understanding what an object is, not just where it is, to make navigation decisions)
Human-Robot Interaction (HRI)
- Gesture and facial expression recognition
- Eye-tracking and gaze estimation for collaborative tasks
- Pose estimation for safety in shared human-robot workspaces
Industrial Automation & Quality Inspection
- Automated optical inspection (AOI) for manufacturing lines
- Robot guidance systems (Pick-and-place powered by 3D vision)
- Defect detection using deep anomaly detection models