How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks

The paper frames the work as learning. Start here because it defines what success means and which assumptions the rest of the method inherits.

This paper quantifies the minimum datasetRobot LearningDatasetA collection of training or evaluation data. size needed to train neural networks for inverse kinematicsMovement, Mechanics & Robot BodyInverse kinematics (IK)Calculating the joint values needed to reach a desired pose.—finding that ~125 samples suffice for reliable IKMovement, Mechanics & Robot BodyInverse kinematics (IK)Calculating the joint values needed to reach a desired pose. predictions on articulated manipulators. For developers building robotCore ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. controlControl & PlanningControlThe method used to make the robot move the way you want. systems, this means you can avoid expensive data collection and trainingRobot LearningTrainingThe process of fitting a model using data or experience. overhead by knowing exactly when your ANN-based IKMovement, Mechanics & Robot BodyInverse kinematics (IK)Calculating the joint values needed to reach a desired pose. solver has converged. When reading the method section, identify the inputs, the learned or engineered representation, and the actionCore ConceptsActionA command the robot sends to its motors, controller, or low-level system. or prediction produced by the system.

For robotics work, the data story is part of the method: check whether the system depends on teleoperationImitation & Reinforcement LearningTeleoperation (teleop)A human remotely controlling the robot, often to collect demonstrations., simulationSimulation & Sim-to-RealSimulationA virtual environment where robots can be trained or tested., internet video, human labels, or robotCore ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. rollouts.

The paper should be judged through its evaluationSimulation & Sim-to-RealEvaluationMeasuring how well a robot system performs. protocol: what data is used, what robotCore ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. or simulator is tested, and which baselineEvaluation & ResearchBaselineA reference method used for comparison. comparisons support the claim. Look for the gap between the headline result and the deploymentSimulation & Sim-to-RealDeploymentPutting the trained system on a real robot. setting you would actually care about.