Wiggle and Go! Enables Zero-Shot Dynamic Rope Manipulation
Researchers have developed Wiggle and Go!, a system-identification framework that enables zero-shot dynamic rope manipulation for robots. The approach uses learned simulation priors to predict physical parameters from rope movement, then optimizes goal-conditioned actions without requiring real-world training data. This addresses the challenge of dynamic throws where a single mistake can cause failure. The method achieves strong performance across multiple dynamic rope manipulation tasks, offering a solution that avoids large datasets or iterative trial-and-error.
Key facts
- Wiggle and Go! is a two-stage framework for zero-shot dynamic rope manipulation.
- It uses a system identification module to observe rope movement and predict physical parameters.
- An optimization method then predicts goal-conditioned actions for the robot.
- The approach requires no real-world training data or iterative attempts.
- It achieves strong performance across multiple dynamic rope manipulation tasks.
- The research is published on arXiv with ID 2604.22102.
- The method leverages learned simulation priors.
- It aims to mitigate unforgiving errors in dynamic throws.
Entities
Institutions
- arXiv