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Department of Industrial
Engineering & Management
IMT-BGU, is a future factory suited for higher-education needs and "hands-on" teaching. IMT-BGU is open, modular and robust, with a decentralized control scheme employing state-of-the-art control methodologies and integration tools.
The telerobotics lab aims to provide a platform for applying advanced methodologies for telerobotic control using various methods (vision, haptics, sound), advanced kinematic modeling, imaging and view point optimization, artificial intelligence and machine vision algorithms, dexterous grasping.
In the robotic and biomechanics lab we integrate knowledge from biomechanics and robotics to gain insights that have implications for understanding human stability, ergonomics, biomechanical energy harvesting, and wearable robots. We use a variety of experimental and theoretical methods for analyzing, modeling, and simulating human motion. Research projects in our lab deal with topics such as: developing wearable robots to generate energy from human motion, studying the effect of emotion of human movement, stability in human locomotion, and optimization of work environment to reduce biomechanical load.
>>  Mobile robots
The mobile robotics laboratory has advanced R&D in the following areas: adaptive sensor fusion, human-robot collaboration models, learning algorithms and interfaces for smart, intuitive and natural human-robot interaction, agricultural robotics.
>>  Intelligent systems
The intelligent systems laboratory focuses on: complexity paradigm and organizations, numerical methods for non-linear optimization, the field of complex, living and thinking systems dynamics (artificial life and smart matter systems), and to perform research and develop parallel computing techniques for applications in complex systems dynamics mathematical modeling.
​The driving safety laboratory is used to simulate driving in class demonstrations, student projects and faculty research. It provides researchers with the ability to design various roadway scenarios and a large variety of events, such as pedestrian crossings and traffic flow.
>>  Eye Tracking
Eye movement research applied in the ergonomics laboratory, it is used to study how people process visual information in complex scenes, and how to improve designs and visual presentation of targets, which observers must detect and identify.
>>  Dome
The dome projection facility integrates the natural visual and motor skills of an operator into the system he/she is controlling. The dome is large enough to have a participant and equipment immersed within its circumference which is projected from a virtual environment generator. Dome Projection is used in aircraft simulations, combat simulations, and for pedestrian and child pedestrian studies. The dome can be used as a simulation of reality, as an extension of human senses through telepresence, and as an information enhancer through augmented reality.
>> The Human Performance and Evaluation Lab(HPEL)
The human performance and evaluation lab is focused on modeling, evaluating and measuring the performance of operators in complex and dynamic systems. The lab includes a research-oriented driving simulator as well as a state of the art mobile eye tracking system.
>>  Enterprise Systems Research Laboratory (ESRL)​​
ESRL has been established to facilitate the creation, accumulation, and dissemination of knowledge on the development, implementation, and business value of enterprise systems. ESRL has three primary objectives. First, the lab conducts research on issues related to enterprise systems and their organizational impacts. Typical research questions that align with the lab's research objective include questions about success factors for the effective implementation and upgrade of enterprise systems, IT business value, IT outsourcing relationships, and strategies of enterprise system provides. Second, the lab aims at facilitating the introduction of managerial issues related to enterprise systems into information-systems teaching. Relevant courses include, in addition to the ERP course, courses with a broader organizational orientation, such as the Management of Information Systems and Technologies course. Third, the lab seeks to establish and support collaborations between academia and industry, particularly with senior IT executives, to increase the exchange of knowledge between research and practice.
>>  Machine Learning and Business Intelligence (MLBIS)
The MLBIS laboratory aims to provide ICT platforms for supporting research and teaching in fields that are related to advanced usage and management of data - machine learning, business intelligence, data mining, data warehousing, and data quality management.
>>  Advanced Industrial Engineering & Management Lab
The advanced industrial engineering & management laboratory is intended for computer and computer-aided studies for developing effective multidisciplinary creative solutions of real world problems with industry collaboration. The main areas of research include: semiconductor manufacturing, manufacturing operations and systems analysis, production scheduling, project management, operations research, optimization methods and algorithms, transportation problems, healthcare management, environmental management.
>> Human Factors in Healthcare Laboratory
A simulation laboratory where clinicians can perform clinical tasks in a controlled environment. The laboratory will allow studying the clinicians’ interaction with the tools and devices they use under varied conditions.The lab will be equipped with video and audio recording systems that can capture and analyze the sessions we will simulate. This equipment include video cameras, microphones, computers to control and edit the video, and a sophisticated eye-tracking system that will be used to follow the clinicians interaction with the environment. 
>> Algorithms and Intelligence Systems (AIS) lab:
The Algorithms and Intelligence Systems lab focuses on developing and analyzing methods inoptimization, planning, and interaction with a special focus on combinatorial optimization and on application to robotics. A central challenge in the laboratory is to identify and tackle combinatorial problems that can help enhance the performance of various types of intelligent systems. The lab provides a comfortable fertile working space for this interdisciplinary research, and seeks to provide a bridge between optimization theory and intelligent system design.