Registration summary
ConferenceICRML
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICRML conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Reinforcement Learning for Robotics +
This track focuses on the latest developments in reinforcement learning techniques specifically applied to robotic systems. Researchers are invited to present novel algorithms and methodologies that enhance the learning capabilities of autonomous agents.
02 Robot Perception and Sensor Fusion Techniques +
This session aims to explore innovative approaches in robot perception, emphasizing the integration of multiple sensor modalities. Contributions that enhance the understanding of environments through advanced sensor fusion techniques are highly encouraged.
03 Motion Planning and Control Systems in Robotics +
This track addresses the challenges and solutions in motion planning and control for robotic systems. Papers discussing novel algorithms, optimization techniques, and real-time applications are welcome.
04 Human-Robot Interaction and Collaboration +
This session focuses on the dynamics of human-robot interaction, exploring how robots can effectively collaborate with humans in various environments. Contributions that investigate user experience, communication, and adaptive behaviors are particularly sought after.
05 Deep Learning Applications in Robotics +
This track highlights the application of deep learning techniques in various robotic domains, including perception, decision-making, and control. Researchers are invited to share their findings on how deep learning can enhance robotic functionalities.
06 Robot Learning and Imitation Learning Strategies +
This session will cover advancements in robot learning, particularly focusing on imitation learning and its applications. Papers that discuss methodologies for enabling robots to learn from human demonstrations are encouraged.
07 Adaptive Control Systems for Autonomous Robots +
This track examines adaptive control strategies that enable robots to adjust their behaviors in dynamic environments. Contributions that demonstrate the effectiveness of adaptive control in real-world applications are welcome.
08 Predictive Modeling in Robotics +
This session focuses on the role of predictive modeling in enhancing robotic decision-making and planning. Researchers are invited to present innovative models that improve the anticipation of future states in robotic systems.
09 Object Manipulation Techniques in Robotics +
This track addresses the challenges of object manipulation in robotic systems, exploring both hardware and software solutions. Papers that present novel approaches to grasping, handling, and interacting with objects are encouraged.
10 Swarm Robotics and Collective Behavior +
This session explores the principles and applications of swarm robotics, focusing on collective behaviors and decentralized decision-making. Contributions that investigate coordination strategies and their implications for real-world applications are welcome.
11 Reinforcement Policies for Intelligent Agents +
This track delves into the development and application of reinforcement policies for intelligent agents in robotic systems. Researchers are invited to share insights on policy optimization and its impact on agent performance in complex environments.
