softrobotics

A MuJoCo-based framework for energy-equivalent modeling and simulation of musculoskeletal robots.

SOROTOKI is an open-source MATLAB package that includes an array of tools for design, modeling, and control of soft robotic systems 🐙 🤖

A modified benchmark for designing and controlling 2D Voxel-based Soft Robots

[RA-L/ICRA2020] Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

Here are the source code, pretrained models and dataset for paper "Soft Manipulator Fault Detection and Identification Using ANC-based LSTM"

Linear Fem based on Pure Python

This simulation package is explored based on the original TMTDyn provided by Dr. S.M.Hadi Sadati (please check the link https://github.com/smhadisadati/TMTDyn for more details). This modified version is applicable for multiple arms' simulation in which there is no interaction force among each of them.

Code to control SoftTAS_UR10

A robotic fish actuator capable of advanced movements.

This repository was created to park my assignment and project source codes on mechanics of flexible structures and soft robots.

Soft Resistive Sensor Design

VisionApp is a practical and straightforward computer vision application that allows performing two-dimensional measurements, such as estimating angles, measuring distances, determining coordinates, and calculating the 2D kinematics of soft robots. This is achieved by calibrating a vision camera within the same application

Marc Descour 2019 capstone code as a proper mbed github repository

GitHub Repository for "Tactile Perception through Fluid–Solid Interaction"

Winner of the HackTCNJ 2024 Hackathon. Expand-A-Conda is a search and rescue robot, ingeniously designed to detect people buried in debris using image segmentation and AI-powered pathfinding. It incorporates soft robotics by building a cheap and indestructible vine robot, capable of navigating through inaccessible terrains.

A soft gripper system driven by computer vision and point cloud analysis, using shape detection and aligned depth data to estimate object dimensions. Created for the Soft Robotics course project.

心拍と連動して動くソフトロボット作品「Heart of Mollusca』

This repository contains code to predict modular strain-limiting layer (SLL) configurations for Zig-zag soft pneumatic actuators (SPAs) to achieve desired tip trajectories. Using feed-forward and convolutional neural networks, the method maps target trajectories to actuator configurations without needing structural redesign.