What type of study is this?

This is a Quantitative Study study.

October 22, 2025

Planning and optimization of collaborative robot motions for collision resolution in a limited operating space

Key Points

Collision avoidance through optimized motion leads to significant productivity gains in confined spaces.
The algorithm enhances energy efficiency while managing robot trajectories across various operational criteria.
Analysis compares the new algorithm with MRRT and CHOMP, showing distinct advantages in limited operating environments.
Results suggest that implementing the robot management system could streamline technological processes and enhance collaborative functionality.

Abstract

The paper presents and analyzes an algorithm for collision avoidance in confined spaces based on trajectory and con-tour control principles. This algorithm aims to optimize energy efficiency and productivity through the use of specific criteria. The original solution is compared to two universal algorithms: MRRT and CHOMP. The study demonstrates the advantages of the new algorithm when applied in a limited space. The findings of the research are summarized, and recommendations are made for the development of a collaborative robotic management system. This system would classify different parts of a technological process and identify the potential for using the proposed algorithm in confined areas.

AI से पूछें

Bookmark

Cite This Study

M. A. Gorkavyy (Mon,) studied this question.

synapsesocial.com/papers/68f8a381c0c01e5ef8abdd5b https://doi.org/https://doi.org/10.17213/0136-3360-2025-3-56-69

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

AI से पूछें

Bookmark