Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
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Updated
Jun 21, 2022 - Python
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Implementing trajectory optimization on bipedal system
A project to package the NLOpt library to wheels
2D Geometric Constraint Solver
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
Structure From Motion : A python implementation to reconstruct a 3D scene and obtain camera poses with respect to scene
Camera calibration using Zhang's method.
everything about optimization
Reconstruction of a 3d scene from a set of images with different view points (camera in motion)
Neural Networks tend to overfit. One way to overcome this problem is by considering a sequence of optimization problems, where we modify the loss function so that we minimize the distance to the previous solution in every step.
Efficient Frontier Implementation in Python
3D scene reconstruction and camera pose estimation from custom dataset images
keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation
Master 2 robotic project : viewing calibration concepts, path planing and trajectory following. Using library Ibex with python to represent robots geometric and kinetic models
Constraint-based metabolic modelling with sparse IPOPT
Make pre-loaded or custom non linear regressions for plots from csv and txt files, different metrics and error estimates available
Zhang's camera calibration
Optimization of energy consumption and end to end delay in a wireless sensor network using duty-cycle MAC protocols
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