Autonomous Navigation of Mobile Robots in Complex Dynamic Environments

Most of the future robots will be mobile, and the main challenge is to develop algorithms for their autonomous navigation as well as for human-robot interactions. The Laboratory for Autonomous Systems and Mobile Robotics (LAMOR) at the Faculty of Electrical Engineering and Computing of the University of Zagreb is involved in the research of such mobile robotic systems, and currently participates in a number of related international and national research projects. This paper addresses the issue of autonomous navigation of mobile robots in complex dynamic environments, providing state of the art of the domain and major LAMOR’s contribution to it. At the end, we present an application example of the autonomous navigation technologies in flexible warehouses, which we have been developing within a Horizon 2020 project SafeLog

Autonomous Navigation of Mobile Robots in Complex Dynamic Environments

Most of the future robots will be mobile, and the main challenge is to develop algorithms for their autonomous navigation as well as for human-robot interactions. The Laboratory for Autonomous Systems and Mobile Robotics (LAMOR) at the Faculty of Electrical Engineering and Computing of the University of Zagreb is involved in the research of such mobile robotic systems, and currently participates in a number of related international and national research projects. This paper addresses the issue of autonomous navigation of mobile robots in complex dynamic environments, providing state of the art of the domain and major LAMOR’s contribution to it. At the end, we present an application example of the autonomous navigation technologies in flexible warehouses, which we have been developing within a Horizon 2020 project SafeLog

Industry 5 and the human in human-centric manufacturing

The 4th Industrial Revolution, or, Industry 4 (I4) involves a qualitatively new level of interconnectedness between system and point technologies, and human-machine interactions. The calls for a shift to Industry 5 (I5) in digital manufacturing stem from concerns for human labour working in I4, namelyhealth and safety, data generation and extraction. I5 seeks to reframe hu-man-machine relations to reflect a values driven approach based on collaboration and co-design. Sensors play an important role in these developments. This article explores how engineering experts integrate such values into their modelling. Two questions are addressed: 1. To what extent is con-sideration of the human integrated into discussions of advanced operational technologies, whether as end users or as contributors to the process? 2. How do these findings inform I5’s quest for hu-man-centric manufacturing reflecting collaboration and co-design between human and machine? Drawing on an interdisciplinary perspective, a systematic literature review and interpretive coding of academic papers considers relevant I5 technologies (digital twins, cyber-physical systems), and applications (robotics, sensors). Findings demonstrate an increase in output addressing human ac-tivity in modelling and the technologies available to address this concern, but the human-centric approach in I5 so far neglects the potential for human agency to increase the effectiveness of manufacturing systems

Laboratorij za autonomne sustave i mobilnu robotiku

Laboratorij za autonomne sustave i mobilnu robotiku (LAMOR) istraživački je laboratorij koji djeluje u okviru Zavoda za automatiku i računalno inženjerstvo Fakulteta elektrotehnike i računarstva Sveučilišta u Zagrebu. LAMOR je jedan od vodećih laboratorija u Republici Hrvatskoj u području robotike, a svoje je istraživačko djelovanje usmjerio na temeljna istraživanja algoritama upravljanja, estimacije i umjetne inteligencije s primjenom u razvoju sustava autonomije mobilnih robota i vozila u nepoznatim i dinamičkim okruženjima te sustava djelotvorne i sigurne interakcije autonomnih mobilnih robota i ljudi. U radu je opisana uspostava laboratorija i prikazan je njegov 20-godišnji razvoj, a potom su predstavljene osnovne informacije o njegovoj istraživačkoj djelatnosti, najznačajnijim znanstvenim postignućima, najvažnijim istraživačkim projektima, međunarodnoj suradnji te doprinosu razvoju znanosti i gospodarstva u Republici Hrvatskoj

Laboratorij za autonomne sustave i mobilnu robotiku

Laboratorij za autonomne sustave i mobilnu robotiku (LAMOR) istraživački je laboratorij koji djeluje u okviru Zavoda za automatiku i računalno inženjerstvo Fakulteta elektrotehnike i računarstva Sveučilišta u Zagrebu. LAMOR je jedan od vodećih laboratorija u Republici Hrvatskoj u području robotike, a svoje je istraživačko djelovanje usmjerio na temeljna istraživanja algoritama upravljanja, estimacije i umjetne inteligencije s primjenom u razvoju sustava autonomije mobilnih robota i vozila u nepoznatim i dinamičkim okruženjima te sustava djelotvorne i sigurne interakcije autonomnih mobilnih robota i ljudi. U radu je opisana uspostava laboratorija i prikazan je njegov 20-godišnji razvoj, a potom su predstavljene osnovne informacije o njegovoj istraživačkoj djelatnosti, najznačajnijim znanstvenim postignućima, najvažnijim istraživačkim projektima, međunarodnoj suradnji te doprinosu razvoju znanosti i gospodarstva u Republici Hrvatskoj

Digital twin-enabled smart industrial systems: a bibliometric review

The aim of this study is to investigate the body of literature on digital twins, exploring, in particular, their role in enabling smart industrial systems. This review adopts a dynamic and quantitative bibliometric method including works citations, keywords co-occurrence networks and keywords burst detection with the aim of clarifying the main contributions to this research area and highlighting prevalent topics and trends over time. The analysis performed on citations traces the backbone of contributions to the topic, visible within the main path. Keywords co-occurrence networks depict the prevalent issues addressed, tools implemented and application areas. The burst detection completes the analysis identifying the trends and most recent research areas characterizing research on the digital twin topic. Decision-making, process design and life cycle as well as the enabling role in the adoption of the latest industrial paradigms emerge as the prevalent issues addressed by the body of literature on digital twins. In particular, the up-to-date issues of real-time systems and industry 4.0 technologies, closely related to the concept of smart industrial systems, characterize the latest research trajectories identified in the literature on digital twins. In this context, the digital twin can find new opportunities for application in manufacturing, control and services