Eurofins is one of the world's largest laboratories which, among other things, offer chemical and microbiological analyses in agriculture, food and environment. Several 100.000 tests of various foods are executed each year at Eurofins’ facility in Jönköping and the current processes include much repeated manual tasks which could cause ergonomic problems. The company therefore wants to investigate the possibilities of utilizing Human-Robot Collaboration (HRC) at their facility. Human-Robot Collaboration is a growing concept that has made a big impression in both robot development and Industry 4.0. A HRC approach allow humans and robots to share their workspaces and work side by side, without being separated by a protective fence which is common among traditional industrial robots. Human-Robot Collaboration is therefore believed to be able to optimize the workflows and relieve human workers from unergonomic tasks. The overall aim of the research project presented is to help the company to gain a better understanding about the existing HRC technologies. To achieve this goal, the state-of-the-art of HRC had to be investigated and the needs, possibilities and limitations of HRC applications had to be identified at Eurofins’ facility. Once these have been addressed, a demonstrator could be built which could be used for evaluating the applicability and suitability of HRC at Eurofins. The research project presented used the design science research process. The state-of-the-art of HRC was studied in a comprehensive literature review, reviewing sterile robots and mobile robotics as well. The presented literature review could identify possible research gaps in both HRC in laboratory environments and mobile solutions for HRC applications. These areas studied in the literature review formed together the basis of the prepared observations and interviews, used to generate the necessary data to develop the design science research artefact, the demonstrator. ABB's software for robotic simulation and offline programming, RobotStudio, were used in the development of the demonstrator, with the collaborative robot YuMi chosen for the HRC implementation. The demonstrator presented in the research project has been built, tested and refined in accordance to the design science research process. When the demonstrator could illustrate an applicable solution, it was evaluated for its performance and quality using a mixed methods approach. Limitations were identified in both the performance and quality of the demonstrator's illustrated HRC implementation, including adaptability and sterility constraints. The research project presented could conclude that a HRC application would be possible at a station which were of interest by the company, but would however not be recommended due to the identified constraints. Instead, the company were recommended to look for stations which are more standardized and have less hygienic requirements. By the end of the research project, additional knowledge was contributed to the company, including how HRC can affect today's working methods at Eurofins and in laboratory environments in general.

abstract: In a collaborative environment where multiple robots and human beings are expected to collaborate to perform a task, it becomes essential for a robot to be aware of multiple agents working in its work environment. A robot must also learn to adapt to different agents in the workspace and conduct its interaction based on the presence of these agents. A theoretical framework was introduced which performs interaction learning from demonstrations in a two-agent work environment, and it is called Interaction Primitives. This document is an in-depth description of the new state of the art Python Framework for Interaction Primitives between two agents in a single as well as multiple task work environment and extension of the original framework in a work environment with multiple agents doing a single task. The original theory of Interaction Primitives has been extended to create a framework which will capture correlation between more than two agents while performing a single task. The new state of the art Python framework is an intuitive, generic, easy to install and easy to use python library which can be applied to use the Interaction Primitives framework in a work environment. This library was tested in simulated environments and controlled laboratory environment. The results and benchmarks of this library are available in the related sections of this document. / Dissertation/Thesis / Masters Thesis Computer Science 2017

Nowadays, robot is commonly used to perform automation tasks. With the trend of low volume and customised products, flexible manufacturing is introduced to increase working efficiency and flexibility. Therefore, human robot collaboration plays an important role in automation production and safety should be considered in the design of this kind of robot cell. This work presents the design of safe human robot collaboration by equipping an industrial robot cell with SICK laser scanners, safety monitoring system and trap routine speed control. It also investigates the reliability of RGB-D camera for robot safety. This work aims to find a safety robot system using standard industrial robot for human robot collaboration. The challenge is to ensure the operator's safety at all times. It investigates safety standards and directives, safety requirements of collaboration, and related works for the design of collaborative robot cell, and makes risk assessment before carrying out the valuation. Based on literature review, it gives the concept of layout design and logic for slow down and resume of robot motion. The speed will be first reduced to manual speed and then zero speed depending on the distance between the human and the robot. Valuation and verification are made in the proposed safe solution for human robot collaboration to test the reliability and feasibility. This project realizes the automatic resume that the robot can con-tinue working without manually pressing reset button after the operator leaves the robot cell if there is no access to the prohibited area. In addition, it also adopts the manual reset at the same time to ensure the safety when people access the prohibited area. Several special cases that may happen in the human robot collaboration are described and analysed. Furthermore, the future work is presented to make improvements for the proposed safety robot cell design.

This project explores the usability of Transformers for learning a model that canplay the drums and accompany a human pianist. Building upon previous workusing fuzzy logic systems three experiments are devised to test the usabilityof Transformers. The report also includes a brief survey of algorithmic musicgeneration.The result of the project are that in their current form Transformers cannoteasily learn collaborative music generation. The key insights is that a new wayto encode sequences are needed for collaboration between human and robot inthe music domain. This encoding should be able to handle the varied demandsand lengths of di erent musical instruments.

Background: For several decades companies have had their focus on automation and to make the processes more effective. Today's companies are thinking about how to streamline and automate processes with upcoming new technology. A new way to automate processes is to use automation in combination with employees, this can be done with the help of HRC. At the moment HRC is something that Scania CV AB would like to have in order to be able to automate and improve its working methods. Scania CV AB want to investigate how HRC can be used most effectively as a step in their automation and digitization roadmap. Research questions: 1. What are the advantages, limitations and requirements for human robot collaboration to be able to be implemented in line feeding in the automotive industry's assembly process? 2. In which activity at Scania CV AB Oskarshamn truck cab assembly factory in line feeding could human robot collaboration be implemented and why? 3. What can an implementation process look like for human robot collaboration in the selected activity at Scania Oskarshamn's truck cab assembly factory? Purpose: The purpose of the work has been to discuss the advantages limitations and requirements of implementing human robot collaboration in line feeding in the automotive industry. Furthermore, a decision basis has been produced in the work to implement human robot collaboration as a step in that Scania CV AB wants to automate and improve its working methods. With the help of the decision basis, a suitable activity has emerged. An implementation model has been created for the selected activity at Scania CV AB Oskarshamn.  Implementation: This work is a case study at Scania CV AB in Oskarshamn. The authors have used goal-directed selection and snowball selection where semi-structured and unstructured interviews have been conducted. The work has used the deductive approach and used the qualitative research as method Conclusion: In this case study, three research questions have been analyzed. The first research question is aimed at the entire automotive industry, while the other two are aimed at Scania CV AB, however, all three research questions can provide value to stakeholders both internally at Scania CV AB and externally. The first research question has discussed the advantages, limitations and requirements for implementing HRC. Furthermore, in connection with the work’s second research question, a decision basis has been produced for the classification of suitable articles to be handled by HRC. Finally, the third research question has led to the development of an implementation model for activity for the selected article. Contributions/value: This work has contributed to both theoretical and contributions in the form of the authors having developed an implementation model that can be used by both Scania CV AB and other companies in the automotive industry. It also contributes by giving stakeholders a broader perspective, including benefits, limitations and requirements that should be borne in mind when implementing HRC.

The assembly process in Volvo Construction Equipment, in Braås, is fully hand-operated. The aim of this Master thesis project is to develop and evaluate different concepts of how the automation level could be increased. This study aims to find reliable technology/automation solutions that could be used in one or more operations in the assembly process and identify the benefits for Volvo Construction Equipment. The work will end up in concepts and recommendations on what areas of the assembly process would be most beneficial to automate first. Conversations, observations, and interviews took place in the assembly department to help in the selection of the station in which automation can be most easily introduced. Automated procedures at this station will have advantages since they will include robots. The robot can take over some of the assembly procedures, while the worker can be occupied with others. From an ergonomic perspective, these procedures will be improved; thus, the efficiency and the quality will be better, and this will be achieved because the human will focus on procedures where creativity and human hands are needed, and the robot will take over the most un-ergonomic and difficult operations.

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A close collaboration between humans and robots is one approach to achieve flexible production flows and a high degree of automation at the same time. In human-robot collaboration, both entities work alongside each other in a fenceless, shared environment. These workstations combine human flexibility, tactile sense and intelligence with robotic speed, endurance, and accuracy. This leads to improved ergonomic working conditions for the operator, better quality and higher efficiency. However, the widespread adoption of human-robot collaboration is limited by the current safety legislation. Robots are powerful machines and without spatial separation to the operator the risks drastically increase. The technical specification ISO/TS 15066 serves as a guideline for collaborative operations and supplements the international standard ISO 10218 for industrial robots. Because ISO/TS 15066 represents the first draft for a coming standard, companies have to gain knowledge in applying ISO/TS 15066. Currently, the guideline prohibits a collision with the head in transient contact. In this thesis work, a safety system is designed which is in compliance with ISO/TS 15066 and where certified safety technologies are used. Four theoretical safety system designs with a laser scanner as a presence sensing device and a collaborative robot, the KUKA lbr iiwa, are proposed. The system either stops the robot motion, reduces the robot’s speed and then triggers a stop or only activates a stop after a collision between the robot and the human occurred. In system 3 the size of the stop zone is decreased by combining the speed and separation monitoring principle with the power- and force-limiting safeguarding mode. The safety zones are static and are calculated according to the protective separation distance in ISO/TS 15066. A risk assessment is performed to reduce all risks to an acceptable level and lead to the final safety system design after three iterations. As a proof of concept the final safety system design is implemented for a demonstrator in a laboratory environment at Scania. With a feasibility study, the implementation differences between theory and praxis for the four proposed designs are identified and a feasible safety system behavior is developed. The robot reaction is realized through the safety configuration of the robot. There three ESM states are defined to use the internal safety functions of the robot and to integrate the laser scanner signal. The laser scanner is connected as a digital input to the discrete safety interface of the robot controller. To sum up, this thesis work describes the safety system design with all implementation details. / Ett nära samarbete mellan människor och robotar är ett sätt att uppnå flexibla produktionsflöden och en hög grad av automatisering samtidigt. I människa-robotsamarbeten arbetar båda enheterna tillsammans med varandra i en gemensam miljö utan skyddsstaket. Dessa arbetsstationer kombinerar mänsklig flexibilitet, taktil känsla och intelligens med robothastighet, uthållighet och noggrannhet. Detta leder till förbättrade ergonomiska arbetsförhållanden för operatören, bättre kvalitet och högre effektivitet. Det breda antagandet av människarobotsamarbeten är emellertid begränsat av den nuvarande säkerhetslagstiftningen. Robotar är kraftfulla maskiner och utan rymdseparation till operatören riskerna drastiskt ökar. Den tekniska specifikationen ISO / TS 15066 fungerar som riktlinje för samverkan och kompletterar den internationella standarden ISO 10218 för industrirobotar. Eftersom ISO / TS 15066 representerar det första utkastet för en kommande standard, måste företagen få kunskap om att tillämpa ISO / TS 15066. För närvarande förbjuder riktlinjen en kollision med huvudet i övergående kontakt. I detta avhandlingar är ett säkerhetssystem utformat som överensstämmer med ISO / TS 15066 och där certifierad säkerhetsteknik används. Fyra teoretiska säkerhetssystemdesigner med en laserskanner som närvarosensor och en samarbetsrobot, KUKA lbr iiwa, föreslås. Systemet stoppar antingen robotrörelsen, reducerar robotens hastighet och triggar sedan ett stopp eller aktiverar bara ett stopp efter en kollision mellan roboten och människan inträffade. I system 3 minskas storleken på stoppzonen genom att kombinera hastighets- och separationsövervakningsprincipen med det kraft- och kraftbegränsande skyddsläget. Säkerhetszoner är statiska och beräknas enligt skyddsavståndet i ISO / TS 15066. En riskbedömning görs för att minska alla risker till en acceptabel nivå och leda till den slutliga säkerhetssystemdesignen efter tre iterationer. Som ett bevis på konceptet är den slutliga säkerhetssystemdesignen implementerad för en demonstrant i en laboratoriemiljö hos Scania. Genom en genomförbarhetsstudie identifieras implementeringsskillnaderna mellan teori och praxis för de fyra föreslagna mönster och ett genomförbart säkerhetssystem beteende utvecklas. Robotreaktionen realiseras genom robotens säkerhetskonfiguration. Där definieras tre ESM-tillstånd för att använda robotens interna säkerhetsfunktioner och för att integrera laserscannersignalen. Laserskannern är ansluten som en digital ingång till robotkontrollens diskreta säkerhetsgränssnitt. Sammanfattningsvis beskriver detta avhandlingar säkerhetssystemdesignen med alla implementeringsdetaljer.

The goal of this thesis is to enable a robot to actively collaborate with a person to move an object in an efficient, smooth and robust manner. For a robot to actively assist a person it is key that the robot recognizes the actions or phases of a collaborative tasks. This requires the robot to have the ability to estimate a person’s movement intent. A hurdle in collaboratively moving an object is determining whether the partner is trying to rotate or translate the object (the rotation versus translation problem). In this thesis, Hidden Markov Models (HMM) are used to recognize human intent of rotation or translation in real-time. Based on this recognition, an appropriate impedance control mode is selected to assist the person. The approach is tested on a seven degree-of-freedom industrial robot, KUKA LBR iiwa 14 R820, working with a human partner during manipulation tasks. Results show the HMMs can estimate human intent with accuracy of 87.5% by using only haptic data recorded from the robot. Integrated with impedance control, the robot is able to collaborate smoothly and efficiently with a person during the manipulation tasks. The HMMs are compared with a switching function based approach that uses interaction force magnitudes to recognize rotation versus translation. The results show that HMMs can predict correctly when fast rotation or slow translation is desired, whereas the switching function based on force magnitudes performs poorly.

Mini Rotorcraft Unmanned Aerial Vehicles (MRUAVs) flown at low altitude as a part of a human-robot team are potential sources of tactical information for local search missions. Traditionally, their effectiveness in this role has been limited by an inability to intelligently perceive unknown environments or integrate with human team members. Human-robot collaboration provides the theory for building cooperative relationships in this context. This theory, however, only addresses those human-robot teams that are either robot-centered or human-centered in their decision making processes or relationships. This work establishes a new branch of human-robot collaborative theory, Operator Blending, which creates codependent and cooperative relationships between a single robot and human team member for tactical missions. Joint Intension Theory is the basis of this approach, which allows both the human and robot to contribute what each does well in accomplishing the mission objectives. Information processing methods for shared visual information and object tracking take advantage of the human role in the perception process. In addition, coupling of translational commands and the search process establish navigation as the shared basis of communication between the MRUAV and human, for system integration purposes. Observation models relevant to both human and robotic collaborators are tracked through a boundary based approach deemed AIM-SHIFT. A system is developed to classify the semantic and functional relevance of an observation model to local search called the Code of Observational Genetics (COG). These COGs are used to qualitatively map the environment through Qualitative Unsupervised Intelligent Collaborative Keypoint (QUICK) mapping, created to support these methods. / Ph. D.