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,…
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…
DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control
Md Faizal Karim, Shreya Bollimuntha, Mohammed Saad Hashmi +6
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for comp…