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Ramy Farag

2 accepted papers

2025

LBE-DDIK: Is One Model Good Enough to Learn-By-Example the Inverse Kinematics of Multiple Serial Robots?

IROS 2025

Data-Driven Inverse Kinematics (DDIK) solvers emerged as promising Inverse Kinematics (IK) methods for reliably approximating the IK of robotic manipulators. However, these solvers remain heavily robot-dependent, where for each robot of interest, a network needs to be trained in an one-solver-one-ro

Cited by 0SourceScholar
2024

Inverse Kinematics of Robotic Manipulators Using a New Learning-by-Example Method

IROS 2024poster

Inverse Kinematics (IK) is one of the most fundamental challenges in robotics. It refers to the process of determining the joint configurations required to achieve the desired position and orientation (pose) of a robot end-effector. Although numerous Data-Driven (DD) IK solvers have demonstrated enc…

Cited by 0SourceScholar