Call for Papers


 

ACIRS 2027 addresses researchers and industries from all areas of Intelligent Robotic Systems. It provides an international forum for the exchange between those fields, to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. We invite researchers to participate and submit their work to the program. Likewise, any work on AI that has a relation to any of these fields or potential for the usage in any of them is welcome.

The IEEE Robotics and Automation Society is committed to advancing diversity in Robotics and Automation, and to promoting an inclusive and equitable culture that welcomes, engages, and rewards all who contribute to the field, without regard to ethnicity, religion, gender, disability, age, national origin, sexual orientation, gender identity, or gender expression.

Interest for submission include, but are not limited to:

Track 1: Robot Design, Mechanics, and Mechatronics

Robot architecture, mechanical design, and kinematics
Robot dynamics, modeling, and system identification
Actuators, drives, and robotic end-effectors
Dexterous robotic hands and manipulation hardware
Soft robotics, bio-inspired robotics, and compliant mechanisms
Modular, reconfigurable, and lightweight robotic systems
Micro/nanorobotics and advanced robotic materials
Mechatronic design and hardware integration

Track 2: Robotic Perception, Sensing, and State Estimation

Robot vision and three-dimensional perception
Multimodal sensing and sensor fusion
LiDAR, radar, tactile, force, and inertial sensing
Object detection, recognition, and tracking
Localization, mapping, and simultaneous localization and mapping (SLAM)
Environmental modeling and scene representation
Robot state estimation and uncertainty quantification
Active perception and robust sensing in complex environments

Track 3: Artificial Intelligence, Robot Learning, and Embodied Intelligence

Machine learning and deep learning for robotics
Reinforcement learning, imitation learning, and lifelong learning
Embodied intelligence and cognitive robotics
Foundation models and large language models for robotics
Vision-language-action models and multimodal robot intelligence
Knowledge representation, reasoning, and task understanding
Transfer learning, generalization, and sim-to-real adaptation
Learning-based behavioral adaptation and explainable robot intelligence

Track 4: Robot Motion Planning, Control, and Manipulation

Path planning, trajectory generation, and motion optimization
Robot manipulation, grasp planning, and dexterous operation
Kinematic and dynamic control
Adaptive, robust, nonlinear, and optimal control
Model predictive control and intelligent control strategies
Visual servoing, force control, and compliant control
Collision avoidance and constrained motion planning
Real-time control, fault-tolerant control, and safe robot operation


Track 5: Autonomous and Multi-Robot Systems

Autonomous mobile robots and navigation systems
Unmanned aerial, ground, surface, and underwater systems
Multi-robot coordination and cooperative task execution
Swarm robotics and collective intelligence
Multi-robot task allocation and distributed planning
Heterogeneous robotic teams and cooperative autonomy
Networked robotics, cloud robotics, and edge-enabled autonomy
Resilient and distributed robotic systems in dynamic environments

Track 6: Human–Robot Interaction and Collaborative Robotics

Human–robot interaction and physical collaboration
Collaborative robots and shared-workspace safety
Natural language, gesture, and multimodal interaction
Teleoperation, telepresence, and shared autonomy
Human intention recognition and behavior understanding
Social robotics and socially intelligent systems
Humanoid robots and human-centered robotic design
Trust, usability, ergonomics, and human factors in robotics

Track 7: Robotic Systems Engineering, Simulation, and Integration

Robotic software architectures, middleware, and operating systems
Embedded computing and real-time robotic systems
Robotics simulation and virtual testing
Digital twins and virtual commissioning
Synthetic data generation and simulation-based evaluation
Hardware–software integration and system co-design
System verification, validation, and performance benchmarking
Reliability engineering, cybersecurity, and system lifecycle management

Track 8: Robotics Applications and Emerging Robotic Technologies

Industrial robotics, smart manufacturing, and automated assembly
Medical, surgical, rehabilitation, and assistive robotics
Agricultural robotics and precision farming
Logistics, warehousing, transportation, and autonomous driving
Inspection, maintenance, and infrastructure robotics
Service, domestic, and personal robotics
Search-and-rescue, disaster response, and environmental robotics
Space robotics, bio-hybrid robotics, and emerging robotic applications

 

    Contact Us

  • Mia Huang / Ms.
  • Email: acirs_contact@163.com

 

 


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