Conference Information

RMAS 2027: International Conference on Robots, Automation and Multi-Agent

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Submission Date:
2027-03-10 Due in 151 days
Notification Date:
2027-04-21
Conference Date:
2027-05-14
Location:
Maoming, China
Years:
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Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,379 of 5,695 conferences · Top 60%

#224 of 470 in Robotics & Control #408 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
21
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-10

Call For Papers

RMAS 2027 (International Conference on Robots, Automation and Multi-Agent) is an academic conference held in Maoming, China on 2027-05-14. The paper submission deadline is 2027-03-10. Acceptance notifications are sent on 2027-04-21.

The 2027 ​2th International Conference on Robots, Automation and Multi-Agent (RMAS 2027) invites the submission of original research papers related to robotics automation and multi-agent systems. The conference provides a forum for researchers and practitioners to present recent advances in theory, methods, and applications. Contributions are expected to address relevant challenges and developments in intelligent robotic systems, automation and distributed agent-based technologies. Topics of interest include, but are not limited to, the following: 01 Robots & Robotics Embodied AI Robotic Robot Reliability Technology Service robot Industry robot Medical robot Security and defense robot Space robot Robotic vision, recognition and reconstruction Robot intelligence, learning and linguistics Robot design, development and control Robot motion analysis and planning LiDAR‑based Distributed Mapping and Collaborative Multi‑Robot Operations Human-Robot Interaction Mechatronics technology Intelligent autonomous systems ​Navigation/Localization Adaptive and learning control systems Robot smart structures & material Smart/Electrical skin Flexible manufacturing Sensors and actuators Natural language processing Pattern recognition Optoelectronic Arrays and Smart Processing for Swarm Robotic Perception Optoelectronic Tactile Feedback for Cooperative Manipulation with Multiple Robots 02 Multi-Agent Systems Multi-Robot Systems Agent Architectures Agent Programming Languages Agent Development Methodologies and Tools Agent-oriented Software Engineering Agent Organizations and Institutions Agent-oriented Software Engineering Agents and Complex Systems Applications of Multi-agent Systems Action and Planning, Adaptation and Learning Optical Vision‑guided Formation Control and Collision Avoidance for Multi‑Agent Systems Collective and Swarm Intelligence Collective Intentionality Communication, Cooperation and Coordination Optical Communication Networks and Real‑time Coordination in Multi‑Agent Systems Cross-agent knowledge sharing Inter-agent communication protocols Game-Theoretic Methods Machine Learning for Multi-Agent Systems Logics for Multi-Agent Systems Testing, debugging, and DevOps for large-scale agent ensembles Innovative applications of multi-agent technology Optoelectronic Sensor Fusion for Cooperative Localization of Multi‑Agent Systems Photonic Computing and Optical Interconnect for Accelerated Multi‑Agent Decision Making 03 Automation Robust and optimal control Model predictive control Nonlinear and hybrid control Stochastic systems and control Advanced control theory and industrial applications Industrial automation system design and optimization Automated production lines and process control Automated logistics and warehousing Process industry automation Data-driven fault diagnosis and predictive maintenance AI-driven industrial automation and optimization Reinforcement learning for industrial automation Functional safety and system stability
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