Starred repositories
SoRoSim: A MATLAB Toolbox for Hybrid Soft-Rigid Robots
Zotero Add-on Market | Zotero插件市场 | Browsing, installing, and reviewing plugins within Zotero
Differentiable Flexible Mechanical Metamaterials
This is a set of MATLAB and Python functions for visualization and plotting of continuum robots.
Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.
This code is associated to the paper Tummers et al., “Cosserat Rod Modeling of Continuum Robots from Newtonian and Lagrangian Perspectives,” IEEE T-RO. (DOI 10.1109/TRO.2023.3238171) to model tendo…
A unified formulation which accounts for the dynamics of a general class of aquatic multi-body, soft-structured robots is presented
Screw Theory for Robotics; Coserrat's theory; Soft Robotics; Paden-Kahan Subproblems et cetera.
yanglaihao / SoRoSim
Forked from SoRoSim/SoRoSimSoRoSim: A Unified Framework for Soft Robotics Modelling
An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and c…
Constrained optimization framework for inverse kirigami design
TMTDyn Matlab package, for derivation of TMT Dynamic Equation of Motion (EOM) for hybrid rigid-continuum body systems
Distance-geometric Inverse Kinematics for Continuum Robots
Inverse kinematics using sum of squares optimization.
A library for solving inverse kinematics with graphical models and distance geometry.
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Deterministic and stochastic control of kirigami topology (PNAS 2020)
yanglaihao / PINNs
Forked from maziarraissi/PINNsPhysics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations