ICMLRSS · Registering as Listener

International Conference on Machine Learning in Robotics Software

1st Feb – 2nd Feb 2027 Mecca, Saudi Arabia Standard / Physical Participation
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  • All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission to IGAE Conferences.
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  • The Organizer reserves the right to change the venue and date at any time before the conference. Any changes will be communicated to delegates via their registered email ID.
  • IGAE is not responsible for financial loss due to ticket cancellation or any other bookings if the conference format changes from physical to virtual or is rescheduled.
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1.3 Cancellation & Refund Policy

  • Registration cancellation will be accepted if the registrant did not receive the official invitation letter. Once received, no refund claims will be entertained.
  • A full refund is applicable only if requested at least 70 days before the conference date, with the cancellation form submitted 60 days prior.
  • No refund is available for cancellation requests made 30 days or less before the conference. However, a credit will be issued, valid for one year.
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  • If a participant is unable to attend for personal reasons, the registration fee will not be refunded but will be credited for another conference within one year.
  • If the conference is in hybrid mode, the organizer has the right to conduct it in physical or virtual format. No refund is applicable for format changes.

1.4 Travel and Accommodation Responsibilities

  • IGAE is not responsible for arranging or managing travel, flights, transportation, or accommodation for participants.
  • In the event of conference format changes, cancellation, or venue adjustments, IGAE assumes no responsibility for participant-incurred travel or accommodation costs.
  • Registration fees do not include travel or accommodation expenses.

1.5 Transfer of Registration

  • Fully paid registrations can be transferred to another individual from the same institution if the registered person cannot attend. A registration form must be submitted.
  • Transfers must be requested in writing via [email protected], with prior registration details and attestation by the cardholder.
  • Registration can be transferred to another IGAE conference if the registrant cannot attend the originally registered event.
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1.6 Visa Information & Invitation Letter Policy

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1.7 Conference Programme and Participation Policy

  • Where submissions share relevant themes or wider academic value, the Organiser may integrate them across disciplines in interdisciplinary or multidisciplinary sessions that promote diverse viewpoints, knowledge exchange, and professional connections.

To be Noted

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  • Do not book travel arrangements until you receive the official conference program details, which will be sent via email 15 days before the conference.

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Registration summary

ConferenceICMLRSS
ModeStandard / Physical
ParticipationListener
Registration fee$0.00
Bank charges (5.8%)$0.00
Coupon discount-$0.00
Total payable$0.00

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Benefits of Registering as Listener

Access to Conference Sessions
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Certificate of Participation
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Conference Kit / Materials
Access to Keynote Sessions

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest developments in machine learning techniques specifically tailored for robotic applications. Researchers are invited to present novel algorithms that enhance robotic perception, decision-making, and autonomy.

This session explores innovative AI algorithms that improve control systems within robotic frameworks. Contributions should emphasize the integration of machine learning with traditional control methodologies to enhance system performance.

This track addresses best practices in software engineering specifically for robotics applications. Papers should discuss methodologies that ensure robustness, maintainability, and scalability in robotic software systems.

This session highlights research on automation techniques and optimization strategies in robotics. Contributions should demonstrate how machine learning can be leveraged to enhance operational efficiency and resource management.

This track focuses on middleware architectures that facilitate the integration of diverse robotic components. Papers should explore how these solutions enable interoperability and streamline communication between systems.

This session examines the role of embedded systems in robotic applications, focusing on the unique challenges they present. Researchers are encouraged to present innovative solutions that enhance the performance and reliability of embedded robotic systems.

This track investigates the application of machine learning techniques to improve perception systems in robotics. Contributions should focus on advancements in sensor fusion, object recognition, and environmental understanding.

This session addresses the critical aspects of testing and validating software used in robotic systems. Papers should present novel methodologies and frameworks that ensure the reliability and safety of robotic applications.

This track explores the design and implementation of AI-driven frameworks for robotics. Contributions should discuss how these architectures can support complex robotic functionalities and enhance system adaptability.

This session focuses on the intersection of artificial intelligence and human-robot interaction. Researchers are invited to present studies that enhance the usability and effectiveness of robots in collaborative environments.

This track looks ahead to emerging trends in robotics software development influenced by machine learning and AI. Contributions should provide insights into future challenges and opportunities within the field.

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