Event Date : 2027-01-25 - 2027-01-27
Submission Deadline : 2027-01-01
Venue : ibis Bangkok Sukhumvit 4
Website : https://eamae.erpub.org/conference/245
All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:
These topics form the distinct, foundational pillars of each specific discipline before they merge in advanced applications.
Kinematics and Dynamics: Spatial transformations, forward and inverse kinematics, Jacobian matrices, and trajectory planning.
Actuators and Power Systems: Hydraulic, pneumatic, and electric drives; smart material actuators; and power management.
Sensorics and Perception: LiDAR, RADAR, ultrasonic sensors, computer vision, time-of-flight cameras, and tactile sensing.
Robot Programming and Operating Systems: Robot Operating System (ROS/ROS2), microcontrollers, and real-time operating system (RTOS) architectures.
Subtractive Manufacturing: CNC machining, turning, milling, drilling, and electrical discharge machining (EDM).
Forming and Casting: Injection molding, die casting, forging, stamping, and extrusion.
Materials Science: Metallurgy, polymers, advanced ceramics, and the study of material fatigue and stress strain.
Metrology and Quality Control: Coordinate Measuring Machines (CMM), geometric dimensioning and tolerancing (GD&T), and Six Sigma methodologies.
Internal Combustion Engines (ICE): Thermodynamics, fuel injection systems, valvetrain mechanics, and emissions control.
Chassis and Suspension Design: Vehicle dynamics, steering geometry, shock absorbers, and braking systems.
Drivetrain and Transmission: Manual, automatic, and continuously variable transmissions (CVT); differentials; and transaxles.
Aerodynamics and Body Design: Drag coefficients, wind tunnel testing, crumple zones, and structural crashworthiness.
These are the spaces where two or all three fields collide, driving the modern industrial and transport revolutions.
Automated Material Handling: Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs) in warehouses, and conveyor synchronization.
Robotic Welding and Assembly: Robotic arm path-planning for spot, MIG, and TIG welding, and precision pick-and-place assembly lines.
Additive Manufacturing Automation: Robotic 3D printing (using robotic arms for large-scale printing) and automated post-processing.
Smart Inspection Systems: In-line robotic vision inspection, automated defect detection using machine learning, and laser-scanning quality checks.
Autonomous Driving Architecture: Advanced Driver Assistance Systems (ADAS), sensor fusion algorithms (combining camera, radar, and LiDAR data), and drive-by-wire systems.
Localization and Mapping: Simultaneous Localization and Mapping (SLAM), high-definition (HD) mapping, and GPS/Inertial Measurement Unit (IMU) integration.
Path Planning and Decision Making: Artificial intelligence for behavior prediction, obstacle avoidance, and traffic negotiation.
Connected Vehicles: Vehicle-to-Vehicle (V2V) and Vehicle-to-Everything (V2X) communication protocols.
Automotive Stamping and Body-in-White (BiW): High-speed press lines and the assembly of the unpainted sheet metal car body frame.
Advanced Materials Processing: Manufacturing with carbon fiber reinforced polymers (CFRP), aluminum die-casting for EV chassis (Gigacasting), and hydroforming.
Paint Shop Automation: Electrostatic painting, automated sealant application, and cleanroom environmental controls.
Lean Automotive Manufacturing: Just-In-Time (JIT) logistics, Kanban systems, and takt time optimization on the assembly line.
These topics represent the cutting edge of modern engineering, requiring a seamless synthesis of robotics, manufacturing, and automotive principles.
Battery Pack Assembly: Robotic handling of volatile lithium-ion cells, precision laser welding of battery tabs, and automated thermal management installation.
Electric Motor Manufacturing: Automated hairpin winding, stator and rotor assembly, and robotic testing of electromagnetic properties.
Digital Twins: Creating virtual replicas of robotic automotive assembly lines to simulate manufacturing bottlenecks and test robot programming before physical deployment.
Predictive Maintenance: Using IoT sensors on manufacturing robots and automotive assembly machinery to predict component failures via machine learning.
Cyber-Physical Systems: Fully networked production environments where the car being built communicates wirelessly with the manufacturing robots to customize its own assembly features.
Ergonomic Assistance: Collaborative robots working alongside factory technicians to lift heavy automotive components (like dashboards or seats).
Safety Systems: Force-limiting sensors, light curtains, and computer vision fences that allow humans and robots to share the same physical workspace without cages.
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Organized by : EAMAE
