107 skills found · Page 4 of 4
dherath / Snake Robots[code] "Comparison of Serial and Parallel Snake Robots for Lateral Undulation Motion Using Gazebo" by J. Dinal Herath and K. Jayananda. In: IEEE International Conference on Information and Automation for Sustainability (ICIAfS) (2016)
damurka5 / RL CDPRThis work presents Reinforcement Learning algorithms for controlling the Cable-Driven Parallel Robot (4 cables, underconstrained). The work evaluates DDPG, PPO and TRPO algorithms on a simple robot model, providing a solid foundation for future research and experiments on a real cable-suspended robot.
JustinZHAO-05 / Eight Cable Driven Parallel RobotEight-Cable-Driven Parallel Robot (8-CDPR) Desktop size
omerfaruktekin13 / CableDrivenParallelRobotCable-Driven Parallel Robot
insys-icom / MedusaEasily run Robot Framework test suites in parallel.
BerlinUnited / Humanoid Walk TutorialsExperiments and tutorials to create simple walking behavior for humanoid robots based on central pattern generators (cpg) and parallel kinematics (pk) assumptions.
midhun-varghese / Robotics Kinematics Dynamics ControlThis repository contains all my Mathematica and Matlab codes for various aspects of Robotics namely Kinematics, Dynamics, and Control. These implementations can be used for kinmatic and dynamic analysis for a variety of robotic manipulators including serial manipulators and parallel robots.
pnorouzi / Robot Parallel Motion PlanningNo description available
dnomyar90 / RF Appium Parallel SampleParallel Robot Framework Appium Test Sample
LambdaTest / LT Appium Python RobotRun Robot and Appium scripts on LambdaTest automation cloud. A sample repo to help you run Robot framework based test scripts in parallel with LambdaTest
cristhianivanrj / Linear Parallel Delta Robotkinematic control
maxipalay / Cable Driven Parallel RobotCable driven parallel robot.
George-Medhat / High Speed Pick And Place 4 DOFs Parallel Kinematic Delta Robot Graduation ProjectWorked in a team of 7, designing and manufacturing a delta robot capable of increasing the production rate contributing to solving the worldwide increasing demand problem. The robot can pick and place products swiftly at amazingly high speeds also rotates the product while moving it. The control algorithm starts with the camera capturing a frame to locate where the products are, then a script warps the image and applies filters on the captured frame. The script outputs X & Y coordinates of the products which is the input for the next stage, the inverse kinematics, the coordinates are converted from cartesian to angles at the motor shaft. Furthermore, A sophisticated trajectory planning algorithm is utilized to plan a path and trajectory for the end effector to move along. The output is an array of angles (points). All the previous steps were being executed on a Jetson TX2 (high-level). The output array is transferred to a Tiva TM4C (Low-level) through the I2C communication protocol. Finally, the microcontroller controls the motors according to the received data and executes them in the required time.
aras-labs / SPRs Dynamic ModelSpherical Parallel Robots Dynamic Models
wisdomagboh / Parareal ManipParallel-in-Time Physics Simulation for Robotic Manipulation
CEAD-group / Py Opw KinematicsPython bindings for a Rust implementation of inverse and forward kinematic solutions for six-axis industrial robots with a parallel base and spherical wrist.
jstaffans / RobotbatchSplit Robot Framework test suites into batches for parallel execution.
wei-hsuan-cheng / Cga IkClosed-form inverse kinematics (IK) solution for 6-DoF collaborative robot (cobot) and 3-DoF spherical parallel manipulator (SPM) based on conformal geometric algebra (CGA). Implemented in ROS 2 C++.
Marwanon / Learning Pick To Place Objects In A Cluttered Scene Using Deep Reinforcement Learningroposes an efficient grasp-to-place strategy for robotic manipulation in sparse environments using a deep Q-network. Requires less computation and time, generalizes well across scenarios, and achieves optimal grasp points via trial-and-error learning. Demonstrated effectiveness with a UR5 robotic arm and Parallel-jaw gripper.
shalabymhd / 3prr Parallel RobotSimulations based on the dynamic and kinematic model of a 3 degrees-of-freedom planar parallel robot to be used for rigid-body inertia-parameter identification.
