Simulation of flexible cable insertion

This TestBed address one of the most stubborn unsolved bottlenecks in electronics manufacturing: dexterous handling and insertion of flexible cables and connectors during server-tray assembly. TestBed enables training of AI policies in simulation — with an open-source simulator as the official evaluation environment and alternative simulators permitted for training. The reference hardware stack comprises a 6-DoF collaborative robot arm, a parallel-jaw gripper, a wrist force-torque sensor, and three wrist-mounted RGB cameras streaming at 20 fps, all interfaced through standard ROS 2 (Kilted Kaiju) topics, services and actions. The TestBed provides high-fidelity SDFormat scene descriptions, URDF/SDF robot models, a baseline controller and hardware abstraction layer, a ROS 2 lifecycle node template that dynamically loads Python policies, an automated scoring engine, example policies, container images, and a reproducible development environment, supporting Industry 5.0 research on sim-to-real, human-centric dexterous robotic manipulation.

Name of Principal Investigator: David Senicic
Position / institutional role: PhD Candidate
Info Email: sd255008p@student.etf.bg.ac.rs
ORCID persistent identifier (PID): 0009-0002-2758-6585
Name of Host Organization  University of Belgrade – School of Electrical Engineering (ETF) 
Department or Lab   Department of Signals and Systems, ETF Robotics lab 
Name of Building  Palace of Science 
Physical Address   Kralja Milana 11, 11000 Beograd, Serbia 
Website Links  https://robot.etf.bg.ac.rs 
Institutional contact name  Prof. Kosta Jovanović
Institutional contact email  kostaj@etf.rs
Non-academic stakeholders
Industrial Partners; Community
Academic stakeholders
Undergraduate students; PhD students; MSc students; Researchers
Other types of stakeholders
Application case: Short description:
Teaching tool for RL The key idea is to show the studnents of different levels how to train RL models for solving the task and data generation
Research test bed Using this TestBed researchers are able to test new strategies and develop new models of soft grapsing.

list of software components with their brief descriptions:

ROS2 Kilted Kaiju for middleware with python client. AIC ROS2 packages as key components, physics simulator as Gazebo / IsaacSim.