9 Results were found on Technologies


Big Data Analytics

Data Mining and Machine Learning; User-Oriented Security: A Multi-Disciplinary Approach The proposed research is an interdisciplinary project, aiming to develop an adaptive cyber-security system that is personally-adjusted to characteristics of a human user. The project is based on the rapidly developing literature on “usable security” which emerged from the realization that system security often depends […] Read More >

Leading Researchers:

An agricultural mobile robot guided by sonar and vision for crops and yield estimation

Using bio-inspired sensing methods (from bats) for crop estimation, plant examination and plant classification. The system is based on a mobile robotic platform with vision and sonar sensing that is doing the agricultural tests.The NeedAn agricultural manager‘s success depends on his ability to estimate accurately the status of the crops. Although it is assumed that […] Read More >

Leading Researchers:

A novel method to remotely detect plant sound emission, as a response to induced stress

A novel system developed to remotely detect plant sound emission, as a response to  stress. The system consists of hardware and software components: microphones that remotely pick up the plant’s sounds in the ultrasonic range of 20 to 100 kilohertz; a signal processing layer; and a machine-learning algorithm that classifies the recorded sounds and reports […] Read More >

Leading Researchers:

Virtual Robot Facilitator for Small Group Discussions in an Online Environment

In the post-COVID era, many activities has transferred to a collaborative online environment. Both in the education system as well as the workplace, many classes and meetings are held in videoconferencing of small groups. These have been repeatedly shown to be the most effective mode of operation. The problemOnline meetings of small groups tend to […] Read More >

Leading Researchers:

Optimal retrieval in puzzle-based storage (PBS) systems using automated mobile robots (AMR)

Puzzle-based systems (PBS), store unit loads in very high density, without consuming space for transport aisles. In such systems, each load is stored on a moving device (conveyor module or transport vehicle), making these systems very expensive to build and maintain. We propose a new type of PBS system where loads are moved by a […] Read More >

Leading Researchers:

High Resolution Robotic Fingers

Traditional robotic hands have a complex structure with many degrees-of-freedom, while they can be large, fragile and with high cost. In addition, they usually cannot perform gentle and precise in-hand manipulation that is required in, for example, medical procedures and assembly of small components. We propose a sophisticated mechanism that enables to augment the capabilities […] Read More >

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Explainable AI (XAI)

One important challenge in machine learning is the “black box” problem, in which an artificial intelligence reaches a result without any humans being able to explain why. This problem is typically present in deep artificial neural networks, in which the hidden layers are impenetrable. To tackle this problem, our researchers have introduced the notion of explainable […] Read More >

Leading Researchers:

An On-Chip Sub-THz Scalable Beam Steering Antenna Array

We present a novel way of distributing signal to an antenna array without the use of power dividers. In our proposed method, we use the leaked fundamental from a non-linear harmonic generator circuit as an input to drive the next element in the chain. As a proof of concept, we show this distribution method at […] Read More >

Leading Researchers:

Print-N-Grip: A Disposable, Compliant, Scalable and One-Shot 3D-Printed Multi-Fingered Robotic Hand

Robotic hands are an important tool for replacing humans in handling toxic or radioactive materials. However, these are usually highly expensive, and in many cases, once they are contaminated, they cannot be re-used. Some solutions cope with this challenge by 3D printing parts of a tendon-based hand. However, fabrication requires additional assembly steps. Therefore, a […] Read More >

Leading Researchers:


AUTOlab is a transportation research center within the Department of Industrial Engineering at Tel Aviv University. The lab conducts application-oriented research aimed at creating decision-support tools for transportation system planning. Our researchers develop and employ data analytics and operations research techniques to solve the complex optimization problems necessitated by emerging technologies and business models, such […] Read More >

Leading Researchers:

Computational Geometry Lab

Computational Geometry is a branch of Computer Science dedicated to solving geometric problems using effective algorithms and data structures. Computational geometry techniques are applicable in many domains. Example are robotics (e.g., motion planning among obstacles), geographic information systems (GIS), (e.g. combining several layers of information in one map), service location problems (e.g., cellular-antenna placement), Computer […] Read More >

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