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This project explores integrating real-time grasping with 6-DoF pose estimation and online trajectory optimization to improve performance in challenging conditions like poor lighting and novel objects, crucial for industrial manufacturing.

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Dynamic Robotic Grasping: A Combination of Real-Time Trajectory Planning and ML-Based Novel Object Pose Detection

Acknowledgments

Parts of this project page were adopted from the Nerfies page.

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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This project explores integrating real-time grasping with 6-DoF pose estimation and online trajectory optimization to improve performance in challenging conditions like poor lighting and novel objects, crucial for industrial manufacturing.

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