Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
162 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A ROS2-based software library for inverse dynamics computation (2504.06106v2)

Published 8 Apr 2025 in cs.RO

Abstract: Inverse dynamics computation is a critical component in robot control, planning and simulation, enabling the calculation of joint torques required to achieve a desired motion. This paper presents a ROS2-based software library designed to solve the inverse dynamics problem for robotic systems. The library is built around an abstract class with three concrete implementations: one for simulated robots and two for real UR10 and Franka robots. This contribution aims to provide a flexible, extensible, robot-agnostic solution to inverse dynamics, suitable for both simulation and real-world scenarios involving planning and control applications. The related software is available at https://github.com/unisa-acg/inverse-dynamics-solver/tree/rap.

Summary

  • The paper introduces a flexible ROS2-based software library designed for computing inverse dynamics, essential for robot control and simulation.
  • The library features an abstract class with concrete implementations for simulated robots using KDL and real UR10 and Franka robots, crucially including friction modeling for real-world accuracy.
  • Experimental validation in simulation and on real robots demonstrates the library's accuracy in computing joint torques, enabling enhanced control and planning in diverse robotics applications.

Overview of a ROS2-based Software Library for Inverse Dynamics Computation

This paper by Vincenzo Petrone et al. introduces a software library within the Robot Operating System 2 (ROS2) framework, designed specifically to solve inverse dynamics problems in robotic systems. Inverse dynamics is a pivotal aspect of robot control, simulation, and planning, as it involves the computation of joint torques necessary to achieve desired movement profiles based on joint positions, velocities, and accelerations.

The library's architecture centers around an abstract class for inverse dynamics computation, with three concrete implementations provided: one for simulated robots within environments like Gazebo using KDL, and two others catering to real-world applications with UR10 and Franka robots. This design emphasizes flexibility, extensibility, and a robot-agnostic approach, enabling its use both in simulations and on physical platforms.

Implementation and Features

The abstract class, named InverseDynamicsSolver, provides a generic interface for inverse dynamics calculations and is implemented in a modular fashion to facilitate integration across different robotic frameworks. The class allows practitioners to retrieve various dynamic components, such as the inertia matrix, Coriolis effects, and gravity vector, as well as to compute the resultant joint torques.

  • KDL-based Solver: This implementation leverages the Kinematics and Dynamics Library (KDL) for simulated environments, assuming thorough kinematic and dynamic parameters are available, thus omitting the friction term, which is typically negligible in simulations.
  • Real Robot Solvers: For the UR10 and Franka manipulators, the library includes friction modeling, a critical component omitted in many existing solutions such as those relying solely on manufacturer-provided libraries. This enables accurate torque computations essential for high-precision tasks in real-world environments.

Experimental Validation

The paper reports rigorous experimentation to validate the library's efficacy across both simulated and real environments. In simulations, matching the torque computations against the simulation engine's predictions indicates precise model synchronization and efficacy in control applications. Real-world tests demonstrate that the computed torques align well with actual measurements, affirming the software's utility and accuracy in practical applications.

Implications and Future Directions

By providing a comprehensive and adaptable library for inverse dynamics computation, this research opens avenues for broader application in industrial and research environments where ROS2 is dominant. The inclusion of real-world dynamics makes it particularly relevant for tasks requiring high-fidelity control, such as advanced interaction scenarios and dynamic path planning.

Further development could incorporate support for additional robotic platforms and enhance payload modeling, which affects dynamic response. Additionally, integrating this library into autonomous controllers for online applications can significantly enhance dynamic responsiveness and efficiency in operation.

The work encourages a community-driven expansion, enabling researchers and practitioners to extend the library's applicability by developing new implementations for other robotic systems. This contribution is likely to facilitate more nuanced and adaptive control strategies across an array of robotics applications, reinforcing ROS2's standing as a versatile platform for robotic software development.