RAM 2027 invites the submission of original research papers in Robotics, Automation, and Mechatronics, covering theoretical investigation, experimental validation and engineering‑oriented applications for inclusion within the conference proceedings. To uphold rigorous academic quality, every submitted manuscript will go through blind anonymous peer‑review assessed by at‑least three independent subject‑matter reviewers. All accepted works can be delivered in the form of oral reports or poster demonstrations during the symposium. Topics of interest include (but are not limited to) the following five research tracks: Embodied AI, Autonomous Navigation, Intelligent Control, Digital Twin and Mechatronic Diagnosis.
Track 1: Embodied AI
Vision-Language-Action models
Multimodal perception and scene understanding
Generative AI and imitation learning
Explainable AI and trustworthy decision-making
Human-robot collaboration and co-existing operation
Sim-to-real transfer techniques
Robot continual learning and adaptation
Affective computing and social interaction
Large language model task planning
Embedded deployment of embodied AI
ROS and AI hardware acceleration
Track 2: Autonomous Navigation
SLAM in dynamic environments
Multi-sensor fusion for navigation
Path planning and dynamic obstacle avoidance
Multi-agent cooperative navigation
ROS 2.0 real-time navigation systems
Navigation in underground, underwater, and special environments
3D semantic mapping
Reinforcement learning-based autonomous exploration strategies
Visual-inertial odometry
Indoor service robot applications
Real-time analysis of navigation systems
Low-power embedded navigation platforms
Track 3: Intelligent Control
Nonlinear systems and adaptive control
Deep reinforcement learning control
Model Predictive Control integrated with vision
Edge computing and cloud collaborative control
Multi-agent consensus control
Event-triggered networked control
Neuro-fuzzy control methods
Human-machine-environment synergy in Industry 5.0
Quantum-inspired control algorithms
Fault-tolerant control system design
Industrial real-time control and embedded implementation
Hardware-software co-design for control systems
Track 4: Digital Twin
Digital twin modeling techniques
Real-time simulation and virtual-real mapping
Digital twin-driven fault prognosis and PHM
Edge-cloud collaborative twin platforms
Digital twin for robot operation and maintenance
Twin data fusion and bidirectional mapping
Digital twin-driven optimal scheduling
Green manufacturing and energy twins
Real-time synchronization of twin-physical systems
Interoperability of industrial digital twins
Track 5: Mechatronic Diagnosis
AI-driven fault prognosis
Precision control and intelligent inspection
Smart actuation and variable structure design
Smart materials and sensing technology
Embedded real-time systems
Electrical system and PLC safety
MEMS and micro-robotics
High-performance computing for fault diagnosis
Multi-source fusion diagnosis (vibration, acoustic emission, etc.)
Self-sensing for industrial robot health status
Hardware-in-the-loop verification for fault diagnosis
Functional safety verification for mechatronic systems