TacSushi: Tactile-Grounded World-Action Modeling for Dexterous Sushi Manipulation
cs.RO, cs.AI, cs.LG
Submitted: 2026-09-17
Updated: 2026-09-24
Comments: 8 pages, 5 figures
Code: https://github.com/NVIDIA/Isaac-GR00T
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Sashimi-Bot: Autonomous Tri-manual Advanced Manipulation and Cutting of Deformable Objects
- RT-1: Robotics Transformer for Real-World Control at Scale
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- Octo: An Open-Source Generalist Robot Policy
- OpenVLA: An Open-Source Vision-Language-Action Model
- Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
- ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation
- Cosmos 3: Omnimodal World Models for Physical AI
- MediaPipe Hands: On-device Real-time Hand Tracking
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