Tendon-Driven Continuum robot (RoboArm) Shape Estimation Dataset

This dataset captures the behavior of a tendon-driven continuum robot (RoboArm) for shape estimation and force-aware control. It pairs synchronized dual-view imagery from two orthogonal, calibrated USB cameras (X\u2013Z and Y\u2013Z views) with tendon-tension readings from six inline force sensors, collected in both free-motion (no interaction) and force-interaction conditions. Force-interaction data include: static loading via four distinct end-effector masses (11.79, 15.37, 19.78, 24.49 g). The setup uses phosphorescent disk markers against a dark background to enable robust low-light detection of 18 disk guides along a flexible backbone driven by Dynamixel AX-12 actuators.Intended uses span: benchmarking vision-based or sensor-fusion shape estimation, training physics-informed\/data-driven models, validating inverse kinematics\/servoing, and studying controller behavior under external loads.