# Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning

arXiv: https://arxiv.org/abs/2410.07787 · HTML: https://mlsanity.com/paper/2410.07787/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Placed in Robot manipulation imitation learning, one of 13 directions in Offline RL and imitation learning from data.
- Builds on 15 of its 71 references that are in the map.
- First posted on arXiv 10 Oct 2024.

## Placed in

- Offline RL and imitation learning from data / [Robot manipulation imitation learning](https://mlsanity.com/offlinerl/robot-manipulation-imitation-learning/)

## Builds on (most cited first, 15 of 15)

- [RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control](https://mlsanity.com/paper/2307.15818/) (2023)
- [OpenVLA: An Open-Source Vision-Language-Action Model](https://mlsanity.com/paper/2406.09246/) (2024)
- [Diffusion Policy: Visuomotor Policy Learning via Action Diffusion](https://mlsanity.com/paper/2303.04137/) (2023)
- [Octo: An Open-Source Generalist Robot Policy](https://mlsanity.com/paper/2405.12213/) (2024)
- [The Limits and Potentials of Deep Learning for Robotics](https://mlsanity.com/paper/1804.06557/) (2018)
- [DiffPD: Differentiable Projective Dynamics](https://mlsanity.com/paper/2101.05917/) (2021)
- [Dynamic Movement Primitives in Robotics: A Tutorial Survey](https://mlsanity.com/paper/2102.03861/) (2021)
- [Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges](https://mlsanity.com/paper/2110.01358/) (2021)
- [Interactive Imitation Learning of Bimanual Movement Primitives](https://mlsanity.com/paper/2210.16220/) (2022)
- [Surprisingly Robust In-Hand Manipulation: An Empirical Study](https://mlsanity.com/paper/2201.11503/) (2022)
- [A MATLAB Toolbox for Hybrid Rigid Soft Robots Based on the Geometric Variable Strain Approach](https://mlsanity.com/paper/2107.05494/) (2021)
- [SpiRobs: Logarithmic Spiral-shaped Robots for Versatile Grasping Across Scales](https://mlsanity.com/paper/2303.09861/) (2023)
- [RAPTOR: Rapid Aerial Pickup and Transport of Objects by Robots](https://mlsanity.com/paper/2203.03018/) (2022)
- [Berry Twist: a Twisting-Tube Soft Robotic Gripper for Blackberry Harvesting](https://mlsanity.com/paper/2403.17099/) (2024)
- [Physical synchronization of soft self-oscillating limbs for fast and autonomous locomotion](https://mlsanity.com/paper/2409.07011/) (2024)

## Built on by (most cited first, 1 of 1)

- [SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models](https://mlsanity.com/paper/2608.06650/) (2026)

## Abstract (arXiv)

Soft robots have the potential to revolutionize the use of robotic systems with their capability of establishing safe, robust, and adaptable interactions with their environment, but their precise control remains challenging. In contrast, traditional rigid robots offer high accuracy and repeatability but lack the flexibility of soft robots. We argue that combining these characteristics in a hybrid robotic platform can significantly enhance overall capabilities. This work presents a novel hybrid robotic platform that integrates a rigid manipulator with a fully developed soft arm. This system is equipped with the intelligence necessary to perform flexible and generalizable tasks through imitation learning autonomously. The physical softness and machine learning enable our platform to achieve highly generalizable skills, while the rigid components ensure precision and repeatability.