LARAM-26 2026 - 27th LISBON World Conference on Advances in Robotics, Automation & Manufacturing Engineering (LARAM-26) Oct. 8-10, 2026 Lisbon (Portugal)

Website https://eamae.erpub.org/conference/223 | Edit Freely

Category Robotics, Automation & Manufacturing Engineering

Deadline: September 25, 2026 | Date: October 08, 2026-October 10, 2026

Venue/Country: Lisbon, Portugal

Updated: 2026-03-20 20:17:42 (GMT+9)

Call For Papers - CFP

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

1. Advanced Robotics & Intelligent Systems

This area focuses on the "physical" agents that interact with the world, moving from rigid pre-programmed machines to adaptive, intelligent collaborators.

Collaborative Robots (Cobots): Human-robot interaction (HRI), safety sensing, and force-limited movement.

Mobile & Autonomous Robots: SLAM (Simultaneous Localization and Mapping), LiDAR integration, and swarm robotics.

Soft Robotics: Bio-inspired design, flexible actuators, and compliant materials for delicate handling.

Robotic Vision & Perception: 3D object recognition, semantic segmentation, and real-time visual feedback loops.

2. Smart Manufacturing & Industry 4.0

This represents the "brain" of the factory, focusing on connectivity and the digital-physical interface.

Digital Twins: Virtual replicas of physical assets for real-time monitoring and predictive simulation.

Cyber-Physical Systems (CPS): Integrating computation, networking, and physical processes.

Industrial Internet of Things (IIoT): Sensor networks, edge computing, and cloud-based data aggregation.

Smart Factories: Decentralized decision-making and autonomous production adjustment.

3. Automation Control & Optimization

These are the foundational mathematical and logical systems that ensure precision and reliability.

Control Theory: Adaptive control, robust control, and Model Predictive Control (MPC).

Programmable Logic Controllers (PLC) & SCADA: High-level supervisory control and data acquisition.

AI & Machine Learning in Control: Reinforcement learning for path planning and neural networks for anomaly detection.

Process Automation: Continuous vs. discrete manufacturing control systems.

4. Advanced Manufacturing Processes

This focuses on the "how" of production—the literal shaping of materials.

Additive Manufacturing (3D/4D Printing): Metal sintering, multi-material printing, and "smart" materials that change over time.

Precision & Micro-Machining: Nano-manufacturing and laser-based material processing.

Hybrid Manufacturing: Combining subtractive (CNC) and additive processes in a single workstation.

Sustainable Manufacturing: Energy-efficient processes, circular economy integration, and waste reduction.

5. Interrelated & Cross-Cutting Technologies

These topics bridge the gap between the mechanical and digital worlds, impacting all the above categories.

Predictive Maintenance: Using AI to forecast machine failure before it occurs.

Supply Chain Automation: Automated Guided Vehicles (AGVs) and autonomous warehouse management.

Human-Machine Interfaces (HMI): Augmented Reality (AR) for assembly guidance and exoskeletons for worker augmentation.

Cybersecurity in Manufacturing: Protecting industrial control systems (ICS) from digital threats.