4 papers
Object Pose and Shape Estimation for Grasping: Does it Work?
Pavan Karke, Kushal Shah, Gaurav Singh +3
The problem of object pose and shape estimation has seen key advancements lately. Encoder-decoder (e.g., SAM3D, LRM, CRISP) and diffusion-based models (e.g., InstantMesh, Zero123,…
SceneComplete: Open-World 3D Scene Completion in Cluttered Real World Environments for Robot Manipulation
Aditya Agarwal, Gaurav Singh, Bipasha Sen +2
Careful robot manipulation in every-day cluttered environments requires an accurate understanding of the 3D scene, in order to grasp and place objects stably and reliably and to av…
DAGDiff: Guiding Dual-Arm Grasp Diffusion to Stable and Collision-Free Grasps
Md Faizal Karim, Vignesh Vembar, Keshab Patra +2
Reliable dual-arm grasping is essential for manipulating large and complex objects but remains a challenging problem due to stability, collision, and generalization requirements. P…
DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps
Md Faizal Karim, Mohammed Saad Hashmi, Shreya Bollimuntha +4
Dual-arm robotic grasping is crucial for handling large objects that require stable and coordinated manipulation. While single-arm grasping has been extensively studied, datasets t…