Call for papers - RSS workshop on AI and Robotics: the Future of Industrial Assembly

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Hui Li

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Apr 7, 2023, 4:57:10 PM4/7/23
to Women in Machine Learning

RSS’23 Workshop on AI and Robotics: the Future of Industrial Assembly

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Workshop website: https://sites.google.com/nvidia.com/industrial-assembly/  

We are organizing a full-day workshop at the 2023 Robotics: Science and Systems Conference in Daegu, Republic of Korea (Jul 10 – Jul 14, 2023). Contributions of short papers are due May 5th, 2023.

Overview
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The integration of assembly and AI is becoming increasingly important in various industries, from manufacturing to healthcare. This workshop will bring together experts from both fields to discuss the latest developments and challenges in the application of AI in assembly tasks.


Call for Papers
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We invite submissions of short papers from all members of academia and industry. Please submit your paper via our OpenReview portal. Papers should be 2-4 pages in length, including all references and appendices. We encourage papers to follow the official RSS LaTeX template

 

The papers will be reviewed by our program committee, consisting of members of the research community in academia and industry. The review process will be double-blind. Please do not include your names on your submissions until after the review process is complete. Authors of accepted papers will be asked to submit a camera-ready version and make a corresponding poster. A subset of papers will also be selected for lightning talks.


Important Dates
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- Submission open: April 4
- Submission deadline: May 5
- Paper acceptance notification: May 15
- Camera ready due: July 3
- Workshop: July 10

Topics of Interest (including but not limited to)
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- AI in Industrial Assembly: Examining the impact of AI on efficiency, accuracy, and safety in industrial assembly lines.

- Sim2Real Techniques: Discuss the use of simulation in assembly and its potential for bridging the gap between simulation and real-world environments.

- Manipulation of Deformable Objects: Exploring challenges and potential solutions for assembling flexible and deformable objects using AI, such as cables, rubber seals, etc.

- Sensor Fusion: Examining the integration of vision, force/torque, and tactile sensors in assembly tasks and in terms of precision and reliability.

- Assembly Sequence Planning: Discuss the use of AI for planning and optimizing assembly sequences.

- Learning from CAD: Examining the use of AI for learning from CAD models.

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