MineRobot: A Unified Framework for Kinematics Modeling and Solving of Underground Mining Robots in Virtual Environments
Shengzhe Hou, Xinming Lu, Tianyu Zhang, Changqing Yan, Xingli Zhang

TL;DR
MineRobot is a comprehensive framework that models and solves the complex kinematics of underground mining robots in virtual environments, enabling real-time, robust operation without robot-specific derivations.
Contribution
It introduces a domain-specific description format and a topology-processing pipeline to efficiently handle closed-chain mining robot kinematics in virtual environments.
Findings
Achieves real-time performance in kinematic solving.
Handles complex closed-chain mechanisms with topology-aware methods.
Demonstrates robustness suitable for virtual environment applications.
Abstract
Underground mining robots are increasingly operated in virtual environments (VEs) for training, planning, and digital-twin applications, where reliable kinematics is essential for avoiding hazardous in-situ trials. Unlike typical open-chain industrial manipulators, mining robots are often closed-chain mechanisms driven by linear actuators and involving planar four-bar linkages, which makes both kinematics modeling and real-time solving challenging. We present \emph{MineRobot}, a unified framework for modeling and solving the kinematics of underground mining robots in VEs. First, we introduce the Mining Robot Description Format (MRDF), a domain-specific representation that parameterizes kinematics for mining robots with native semantics for actuators and loop closures. Second, we develop a topology-processing pipeline that contracts four-bar substructures into generalized joints and, for…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Robotic Mechanisms and Dynamics · Robot Manipulation and Learning
