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Name: Martin Schonger
Type: User
Bio: 🦾 🧠 :shipit:
Location: Munich, Germany
Name: Martin Schonger
Type: User
Bio: 🦾 🧠 :shipit:
Location: Munich, Germany
In this repository, dynamic model for 6DOF robot is derived using Euler-Lagrange approach. Inertia matrix, Coriolis matrix, and gravity vector are calculated. The repository is also a solution for Assignment4 in Dynamics of Nonlinear Robotics Systems course for ROCV master's program at Innopolis University.
ABC-DS: obstacle Avoidance with Barrier-Certified polynomial Dynamical Systems
ABCC-DS: obstacle Avoidance with Barrier-Certified Compositional polynomial Dynamical Systems
Computations on locally compact Abelian groups.
Algorithm Engineering for Repartitioning Dynamic Graphs
C++ Documentation
Toolbox including several techniques for estimation of Globally Asymptotically Stable Dynamical Systems from demonstrations. It focuses on the Linear Parameter Varying formulation with "physically-consistent" GMM mixing function and different constraint variants, as proposed in [1].
EncloSOS: A MATLAB Toolbox for Computing Semi-Algebraic Enclosures
Implementation of grid cells in Python and Javascript
Grid cell data analysis package.
Set of exercises accompanying the ICRA 2019 Tutorial on Dynamical System based Learning from Demonstration: https://epfl-lasa.github.io/TutorialICRA2019.io/
lightspeed matlab toolbox
Config files for my GitHub profile.
Micromouse - Engineering a Mobile Robot from Scratch
Neuromorphic Path Integration with Multiple Simultaneous Pose Estimates
Physically-consistent GMM fitting approach proposed by Figueroa, N. and Billard, A. (2018) "A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning". In Proceedings of the 2nd Conference on Robot Learning (CoRL).
RCareWorld simulation environment for caregiving robots
reciprocal lattice visualization tool
A set of exercises related to the tutorial given in RSS2018
Homework solutions for MIT Underactuated Robotics course 6.832 spring 2019
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.