Umjetna inteligencija i robotika kao pokretačka snaga modernog društva

In synergy with other technologies, the AI significantly accelerates the scientific and technological development of human society. New possibilities of the application of technological achievements are constantly opening up – in industry, healthcare and everyday life. AI-based robotics is the main driver of the present industrial revolution. Robots have already played an important role in production and changed the production economy over the past decade. New generations of smart robots, or smart technical systems in general, are turning to new applications, especially in service industries, medicine and home use. In the future, autonomous and mobile robots will be able to assist the elderly and immobile, help with household chores, act as caregivers and perform repetitive, tedious or dangerous jobs in nursing homes, hospitals, military environments, disaster sites and schools. The potential benefits are great, but they pose significant ethical challenges too. Our autonomy may be compromised and social interaction obstructed. Expanded use of robots can lead to reduced contact among people and possible restrictions on personal freedoms. Machines of these kinds shape the new world radically, leading to significant economic and cultural changes, creating both winners and losers on a global scale.U sinergiji s drugim tehnologijama AI značajno ubrzava znanstveni i tehnološki razvoj ljudskog društva. Neprestano se otvaraju nove mogućnosti primjene tehnoloških dostignuća, kako u industriji, zdravstvu tako i u svakodnevnom životu. Robotika temeljena na umjetnoj inteligenciji glavni je pokretač sadašnje industrijske revolucije. Roboti su već odigrali važnu ulogu u proizvodnji i promijenili proizvodnu ekonomiju tijekom posljednjih desetak godina. Nove generacije pametnih robota, ili općenito pametnih tehničkih sustava, okreću se novim primjenama, posebno u uslužnim djelatnostima, medicini i kućnoj uporabi. Autonomni i mobilni roboti u budućnosti će moći pomagati starijim i nepokretnim osobama, pomagati u kućanskim poslovima, djelovati kao njegovatelji i obavljati ponavljajuće, dosadne ili opasne poslove u staračkim domovima, bolnicama, vojnim okruženjima, mjestima katastrofe i školama. Potencijalne prednosti su velike, ali također predstavljaju značajne etičke izazove. Naša autonomija može biti ugrožena, a društvena interakcija opstruirana. Prošireno korištenje robota može dovesti do smanjenog kontakta među ljudima i mogućih ograničenja osobnih sloboda. Strojevi ove vrste oblikuju radikalno novi svijet, što dovodi do značajnih ekonomskih i kulturoloških promjena, stvarajući jednako pobjednike kao i gubitnike na globalnoj svjetskoj razini

Object Tracking with a Multiagent Robot System and a Stereo Vision Camera

AbstractWhen working with a robot in terms of object manipulation the essential information is relative position between robot's tool center point (TCP) and the object of interest. This paper proposes a method of frame relative displacement and describes a working multiagent robot application that can be used for tracking, tooling or handling operations with the use of stereo vision in unstructured laboratory environment. Robot system is composed of two Fanuc robot arms, one of which carries a stereo vision camera system and the other which is guided in relation to object of interest. The latter robot has a marker that is used for navigation between the robot and the object of interest. Image processing, marker detection, 3-D coordinates extraction, coordinate system transformations, offset coordinates calculation and communication are handled using c++ multithread program and TCP/IP protocol

CRTA - Regionalni centar izvrsnosti za robotske tehnologije

CRTA je Regionalni centar izvrsnosti za robotske tehnologije Fakulteta strojarstva brodogradnje Sveučilišta u Zagrebu. Centar integrira laboratorije za autonomne sustave, računalnu inteligenciju i medicinsku robotiku, kao i praktikume za praktični rad studenata. Djelatnosti centra su usmjerene prema istraživanju i razvoju naprednih robotskih primjena, poglavito u industriji i medicini, ali i drugim područjima ljudske djelatnosti gdje tradicionalnu automatizaciju i ljudski rad trebaju zamijeniti autonomni i inteligentni sustavi.

Co-evolutionary algorithm for motion planning of two industrial robots with overlapping workspaces regular paper

A high level of autonomy is a prerequisite for achieving robotic presence in a broad spectrum of work environments. If there is more than one robot in a given environment and the workspaces of robots are shared, then the robots present a dynamic obstacle to each other, which is a potentially dangerous situation. This paper deals with the problem of motion planning for two six-degrees-of-freedom (DOF) industrial robots whose workspaces overlap. The planning is based on a novel hall of fame - Pareto-based co-evolutionary algorithm. The modification of the algorithm is directed towards speeding-up co-evolution, to achieve real-time implementation in an industrial robotic system composed of two FANUC LrMate 200iC robots. The results of the simulation and implementation show the great potential of the method in terms of convergence, robustness and time

Context-aware system applied in industrial assembly environment

The objective of this paper is to present an ongoing development of a context-aware system used within industrial environments. The core of the system is so-called Cognitive Model for Robot Group Control. This model is based on well-known concepts of Ubiquitous Computing, and is used to control robot behaviours in specially designed industrial environments. By using sensors integrated within the environment, the system is able to track and analyse changes, and update its informational buffer appropriately. Based on freshly collected information, the Model is able to provide a transformation of high-level contextual information to lower-level information that is much more suitable and understandable for technical systems. The Model uses semantically defined knowledge to define domain of interest, and Bayesian Network reasoning to deal with the uncertain events and ambiguity scenarios that characterize our naturally unstructured world