Preprint
Aug 2026
Real-World Cooperative Bimanual Dexterous Grasp of Large Objects from Single-View Observations
This work proposes a real-world bimanual grasping framework that includes a multimodal dataset capturing joint angles, visual observations and force signals; a Denoising Diffusion Probabilistic Model (DDPM)-based module that generates joint-level grasp configurations from segmented point clouds; and an execution strategy that integrates motion planning with online grasp refinement to ensure physical stability and feasibility.
Ziming Li, Mingxuan Wu, Jiaqi Zhang et al.
· 0 citations