Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo,Ziang Liu,Stephen Tian,Zhaoming Xie,Jiajun Wu,C. Karen Liu,Michelle Guo,Ziang Liu,Stephen Tian,Zhaoming Xie,Jiajun Wu,C. Karen Liu
Advancements in robot learning for object manipulation have shown promising results, yet certain everyday objects remain challenging for robots to effectively interact with. This discrepancy arises from the fact that human-designed objects are optimized for human use rather than robot manipulation. To address this gap, we propose a framework to automatically design 3D printable adaptations that ca...
