matteosodano

matteosodano

Geek Repo

Company:University of Bonn

Location:Bonn

Home Page:https://www.linkedin.com/in/matteo-sodano-88aa3a1ab/

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matteosodano's repositories

Faster_Inverse_Dynamics_and_Coefficients_Identification

University group project concerning the comparison between the classical and the modified Denavit-Hartenberg convention in Newton-Euler algorithm, and the design of persistently exciting trajectories for the dynamic coefficients identification for the KUKA LWR IV+.

Singularities_UR10

Project concerning the design of trajectories approaching (boundary or internal) singularities, in order to compare the effects of the kinematic controllers based on pseudo-inversion and on Damped Least-Squares.

Optimal_Redundancy_Control_of_Robot_Manipulators

University group project concerning the analysis of the redundancy for a planar 3R robot manipulator.

Residuals_and_RLS

University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.

Control_of_an_Autonomous_Bicycle

University group project concerning the modeling and control of a bicycle.

MCLNN_AudioClassification

University group project concerning the design of a Masked Conditional Neural Network for Audio Classification.

SemSeg_Network

Pytorch implementation of Semantic Segmentation for Single class from scratch

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bdd100k-models

Model Zoo of BDD100K Dataset

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CNN_for_Image_Classification

University individual project concerning the design of a Convolutional Neural Network and the use of Transfer Learning for Image Classification.

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ConvNeXt

Code release for ConvNeXt model

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CS231n_assignments

Assignments of the Stanford Course CS231n,

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Gap-crossing_task_with_CENTAURO_robot

Master Thesis concerning the planning of a gap-crossing task with the CENTAURO robot through sampling-based methods and nonlinear optimization. Then, whole-body motion are generated with a hierarchical inverse kinematics scheme in order to make the robot execute the plan.

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