PARIS 7th International Conference on Aeronautical, Robotics & Manufacturing Engineering: PARME-27

Call for papers/Topics

All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:

Part 1: Core Independent Topics 

These are the core pillars that belong uniquely to each distinct field.

1. Aeronautical Engineering

Focuses on the design, development, and science of aircraft operating within the Earth's atmosphere.

• Aerodynamics and Fluid Mechanics

  • Incompressible and compressible flow

  • Boundary layer theory and wing theory

  • Shockwaves and supersonic/hypersonic flow

• Aircraft Structures and Materials

  • Structural analysis of fuselages and wings

  • Fatigue, fracture mechanics, and aeroelasticity

  • High-strength, lightweight aerospace composites

• Flight Dynamics, Stability, and Control

  • Static and dynamic longitudinal/lateral stability

  • Aircraft performance metrics (range, endurance, take-off)

  • Flight control laws and handling qualities

• Aerospace Propulsion Systems

  • Gas turbine engines (turbojets, turbofans, turboprops)

  • Combustion and rocket propulsion basics

  • Propeller theory and rotorcraft aerodynamics

2. Robotics Engineering

Focuses on the design, construction, operation, and application of robots, blending mechanical, electrical, and computer engineering.

• Kinematics, Dynamics, and Mechanisms

  • Forward and inverse kinematics (Denavit-Hartenberg parameters)

  • Rigid body dynamics and Lagrangian mechanics

  • End-effector design and Actuator technologies

• Robot Perception and Computer Vision

  • Sensors (LiDAR, SONAR, IMUs, Depth cameras)

  • Image processing, object detection, and tracking

  • Simultaneous Localization and Mapping (SLAM)

• Control Systems and Motion Planning

  • Feedback control systems (PID, Adaptive, Model Predictive Control)

  • Trajectory generation and obstacle avoidance

  • Pathfinding algorithms ($A^*$, RRT, Dijkstra)

• Artificial Intelligence and Machine Learning in Robotics

  • Reinforcement learning for behavioral control

  • Deep learning for semantic segmentation

  • Swarm intelligence and multi-robot coordination

3. Manufacturing Engineering

Focuses on the transformation of raw materials into finished goods through various processes, machinery, and systems optimization.

• Primary Subtractive and Deformative Processes

  • Advanced machining (CNC milling, turning, EDM, laser cutting)

  • Metal forming (forging, rolling, extrusion, drawing)

  • Casting and molding technologies

• Additive Manufacturing (3D Printing)

  • Powder bed fusion (DMLS, SLS) and Directed Energy Deposition (DED)

  • Stereolithography (SLA) and Fused Deposition Modeling (FDM)

  • Post-processing and surface finishing techniques

• Metrology and Quality Control

  • Coordinate Measuring Machines (CMM) and non-destructive testing (NDT)

  • Geometric Dimensioning and Tolerancing (GD&T)

  • Statistical Process Control (SPC) and Six Sigma methodologies

• Production Systems and Operations

  • Lean manufacturing and Just-In-Time (JIT) production

  • Supply chain logistics and facility layout optimization

  • Cellular manufacturing and assembly line balancing

Part 2: Interrelated Topics and Subtopics

This is where the three fields merge, creating highly advanced technological ecosystems.

1. Aerospace Manufacturing Automation (Aeronautical + Manufacturing + Robotics)

The integration of robotic precision into the strict quality constraints of aircraft assembly.

• Automated Aeroframework Assembly

  • Robotic riveting, drilling, and countersinking of airframes

  • Automated Fiber Placement (AFP) for composite wings and fuselages

  • Robotic sealant application and precision painting

• Tooling and Fixturing

  • Flexible, reconfigurable robotic fixtures for large aerospace parts

  • End-effectors specifically tailored for fragile or curved aerospace components

• Digital Twin Technology

  • Virtual replication of robotic aerospace assembly lines

  • Real-time data synchronization between physical manufacturing cells and digital models

2. Autonomous Aerial Systems & UAVs (Aeronautical + Robotics)

Applying robotic "brains" (autonomy, sensing, control) to aeronautical bodies.

• Unmanned Aerial Vehicle (UAV) Design

  • Fixed-wing, multi-rotor, and VTOL (Vertical Take-Off and Landing) architectures

  • Micro Aerial Vehicles (MAVs) and biomimetic flight

• Autonomous Flight Control and Navigation

  • GPS-denied navigation and optical flow tracking

  • Autonomous collision avoidance and geofencing

  • Robotic payload integration (gimbals, thermal sensors, delivery mechanisms)

3. Intelligent Production and Smart Factories (Robotics + Manufacturing)

The foundation of Industry 4.0, focusing on automating the factory floor.

• Industrial Manipulators and Cobots

  • Collaborative robots (Cobots) designed for safe human-machine interaction

  • High-payload articulated arms for heavy material handling

• Autonomous Mobile Robots (AMRs)

  • Automated Guided Vehicles (AGVs) for factory logistics

  • Warehouse automation and fleet management systems

• Smart Maintenance and Inspection

  • Robotic non-destructive inspection of manufactured parts using ultrasound or X-ray

  • Predictive maintenance of manufacturing machines using robotic sensor data