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Human-Robot Collaboration Analyzing the safety for human-robot collaboration in automotive industry

Chen Yu

Human-Robot Collaboration Analyzing the safety for human-robot collaboration in automotive industry.

Rel. Micaela Demichela. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2019

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Chapter 1 presents the background of the thesis by discussing the reason that why we use the Human-Robot Collaboration solution is that we aim to improve ergonomics and productivity and the problems and objective of this thesis. The problem is that when we introduce the robot in the sharing environment, the safety issue occurs, which is also the most critical aspect for the HRC solution. In chapter 2, the detail of the HRC will be presented, such as definition, safety, work space characteristic, interaction level and 3 types of the HRC concerning the safety . Chapter 3 will talk about the robot components. The robot hazard and the risk assessment will be presented. Some safeguard solutions will be given in chapter 4 according different interaction level. And certain methods which aims to improve production safety and productivity will be presented. In Chapter 5, a case study will be discussed by using a predefined logic flow. First step is to proof that the system with robot is better than pure manual by applying Analytic Hierarchy Process (AHP) method. Then to perform task specification and assign the operation to the human and robot by using the Hierarchical Take Analysis in order to maximize the benefit of the HRC solution in case of ergonomic and productivity. The next step is to evaluate feasibility of the process and risk assessment by computing the probability of each occurrence by using a software named Integrated Dynamic Decision Analysis (IDDA). The chapter 6 is the conclusion of this thesis

Relators: Micaela Demichela
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 92
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/11980
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