12 skills found
neuebot / Kuka Iiwa IkThis repository includes the inverse kinematics solver code for 7-DoF anthropomorphic manipulators and a redundancy resolution strategy with global configuration control, joint limit and singularity avoidance.
Walid-khaled / 7DOF KUKA Linear Axis Forward And Inverse KinematicsIn this repository, the implementation of forward and inverse kinematics by redundancy resolution is presented for KUKA on linear axis 7-DOF robot. The Redundancy Resolution includes three methods, which are Jacobian-based (Damped Least Square and Weighted Pseudoinverse), Null Space, and Task Augmentation.
et0803 / MemikrrKinematic redundancy resolution for replicating natural posture of human arm by performing constrained muscle-effort minimization (considering wrist pose and range of joint motion) with a human arm musculoskeletal model and OpenSIM C++ API.
JiuTian-VL / FALCON[ICCV 2025] Official repository of "FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers"
elpis-lab / Expansion GRRA Python implementation of "Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps"
jackfromeast / CyberCorefThis repository contains codes and models for the paper, Coreference Resolution for Cybersecurity Entity: Towards Explicit, Comprehensive Cybersecurity Knowledge Graph with Low Redundancy, which has been accepted by the SecureComm 2022.
NiNiNiHY / Tree Species Classification Based On The Combination Of Hyperspectral And Airborne LiDARHyperspectral remote sensing images have high spectral resolution, but they can only provide two-dimensional spatial information, and some materials may have similar spectrum. In addition, hyperspectral data has high redundancy, and the classification accuracy is reduced due to the Hughes phenomenon. LiDAR can provide reliable three-dimensional data and forest canopy characteristics.The code mainly includes single tree segmentation, feature extraction, feature importance analysis, KNN and SVM classification. The method proposed in the article was verified, and satisfactory experimental results were obtained.The overall classification accuracy is over 85$\%$, which is about 10$\%$ higher than the classification accuracy of single hyperspectral data.
unisa-acg / Moveit Dp Redundancy ResolutionROS/MoveIt! extension for redundancy resolution with dynamic programming. Please cite: Ferrentino, E.; Salvioli, F.; Chiacchio, P. Globally Optimal Redundancy Resolution with Dynamic Programming for Robot Planning: A ROS Implementation. Robotics 2021, 10, 42. https://doi.org/10.3390/robotics10010042
wzx0826 / FDSCSRThis repository is an official PyTorch implementation of the paper "Lightweight Feature De-Redundancy and Self-Calibration Network for Efficient Image Super-Resolution". (ACM TOMM 2022)
Isdinval / A Pragmatic Framework For Mobile Redundant Manipulator Performing Sequential TasksIn this paper, a framework combining base placement, path planning and redundancy resolution for a mobile manipulator performing sequential tasks, such as screwing, drilling or assembling tasks, is proposed. For a set of given tasks, the outputs of the proposed algorithm meet the following practical performance indicators: minimization of the number of the base positions, minimization of the number of manipulator joint configuration changes, feasibility of each task considering the force capacity of the manipulator (which takes benefit of redundancy resolution) and path planning of the end-effector motion with obstacle avoidance. The effectiveness of the proposed approach is evaluated considering a 3 DOFs mobile platform and a 7 DOFs manipulator performing screwing in a application with 42 tasks.
krishauser / GlobalRedundancyResolutionGlobal redundancy resolution solver for N-D robot arms
fflacco / Tasks Priority MatrixMatlab scripts for testing a novel redundancy resolution method based on the tasks priority matrix
