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bionicdl-sustech/SoftRoboticTongs

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HardWare Design

All hardware is stored in hardWare files in a processable format for shareable and reproducible robot learning, and the cost of a set of hardware does not exceed $50. We will not disclose the manufacturing materials and process details of the soft robotic metamaterial. If you need it, you can leave a message and we will send you a complete set of hardware. Its overall style is shown in the figure below.

overall

Quick use

Web-based software

You can use the above websites quickly, and customize the physical meaning, visualizing and collecting data in the webpage.

Tactile Learning

Experiment

Three data acquisition experiments are shown below. The collected data is stored in the 'datasets' folder.

1. Baseline

setting-Baseline

2. Internal Vision

InternalVision

3. External Vision

setting-ExternalVision

Valiation set distribution

In order to facilitate the calculation of relative errors, we have excluded certain data points, as depicted by the blue shaded area in the following graph. This was necessary due to the uneven distribution and excessive clustering of values around zero.

Distribution

Neural network and result

Result

Scatterplot

Demo

Learning from demostration

You can use the data collected in the webpage to quickly perform Gaussian-based imitation learning. In order to verify the availability of the data, we used our data to reproduce on the basis of the DDD code, and the final effect is shown in the figure below. In the experiment, we collected four sets of data and wrote four letters of ROLC (Robotics for Online Learning and Control), respectively. However, we just provide a convenient data collection system, you can use this data to try to complete more complex tasks.

LFD_demo

Teleoperation for Human-Robot Interaction

  • Through internal vision

Teleoperation-InternalVision

  • Through external vision

Teleoperation-ExternalVision

Teaching in robotics

We further used this system in robotics teaching experiments and got good feedback.

Teaching

Releases

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Contributors 4

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