CLAMP pretrains 3D multi-view encoders with contrastive learning on point clouds and actions, then initializes diffusion policies for more sample-efficient fine-tuning on robotic tasks.
Pointnet: Deep learning on point sets for 3d classification and segmentation
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CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining
CLAMP pretrains 3D multi-view encoders with contrastive learning on point clouds and actions, then initializes diffusion policies for more sample-efficient fine-tuning on robotic tasks.
- AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly
- You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector