Project ADR

Our company offers a customized robotic delivery service to meet the unique needs of our customers. Our fleet of robots is designed and developed to provide autonomous delivery service. We have the capability to customize our robots to address both general and specialized services or needs. To achieve this, we require a fleet management service and end-user interaction application, which we can develop in-house or hire a third-party service provider, depending on our strategy and budget.


Autonomous delivery systems leverage advanced technologies to navigate, interact with the environment, and execute tasks.

Computer Vision

Sophisticated computer vision systems, comprising cameras and sensors, are installed in autonomous delivery robots. These technologies enable the robot to perceive and interpret its surroundings in real time.

Machine Learning and AI Algorithms

Machine learning and artificial intelligence (AI) algorithms play a crucial role in the autonomy of delivery robots. These algorithms enable the robot to learn from its experiences, adapt to changing environments, and make decisions based on complex data inputs.

Collision Detection and Avoidance Systems

The sensors continuously monitor the environment for potential obstacles, such as pedestrians, vehicles, or static objects. The collision detection system operates continuously throughout the robot’s journey, ensuring ongoing safety.

Simultaneous Localization and Mapping (SLAM)

When a robot enters a new environment, it needs to build a map of that space and locate itself within it. To achieve this, it uses cameras, LiDAR, and odometry sensors to collect data about its surroundings. This data is then processed by SLAM algorithms to create a real-time map of the environment while also estimating the robot’s position within the evolving map.

Team Members

Initial Cofounders

Entrepreneur and Team leader ( CEO )

Mohsen Rahmanikivi is a researcher with a demonstrated history of working in the IT industry. Also a CTO, System Administrator, Developer, and Ph.D. Candidate with MSC in software engineering in the IAU, BSC in information technology in KNTU.
Skilled in Concept Development, Technical Implementation, and Product Development.
Interested in Autonomous Vehicles, Artificial Intelligence (ML, DL), Computer Vision, Embedded Systems, and Blockchain.

Jamil Ahmad Kassem

Electronic engineer and designer ( CTO )

Jamil Ahmad Kassem is a talented individual with a unique combination of skills. Jamil’s insatiable curiosity and thirst for knowledge led him to embark on a remarkable journey as a Ph.D. student at UOC (Universitat Oberta de Catalunya). This dual role as a telecommunications engineer and a Ph.D. candidate allows Jamil to explore the intersection of design and technology, creating groundbreaking solutions that bridge the gap between functionality and aesthetic appeal.

Product developer expert ( CPO )

Ghazaleh Keshavarzkalhori completed her Bachelor’s at the University of Tehran, in Electrical Engineering majoring in communication. Research conducted by her has primarily been in the fields of Blockchain Technology, and Privacy-Preserving Protocols at SCL at the University of Tehran. After graduating, she has been working as a researcher at the SENDA research group at the Autonomous University of Barcelona. She is researching the combination of federated learning, blockchain, and privacy.

Secondary Cofounders

Computer vision expert

Mona Ashtari-Majlan is currently pursuing her Ph.D. in the Doctoral program in Network and Information Technologies at Universitat Oberta de Catalunya (UOC), Spain. She received her Master’s degree in Health Systems Engineering from Amirkabir University of Technology, Tehran, in 2021. As a member of the AIwell research group at the eHealth Center of the UOC, her research interests include Biomedical Image Processing, Computer Vision, and Deep Learning.

Davoud Omarzade

GIS Expert

Davoud Omarzadeh is a remote sensing and GIS expert specializing in image processing. Currently pursuing a Ph.D. in information technology at the University of Oberta de Catalonia, Complex System group. With a passion for leveraging geospatial data, network. His research focuses on extracting valuable insights from Earth observation data for environmental monitoring, urban planning, and complex decision-making systems.

Hassan Hayat

Artificial Intelligence expert

Hassan Hayat completed his Doctoral degree in Network and Information Technologies from Universitat Oberta de Catalunya (Spain) under the supervision of Prof. Agata Lapedriza Garcia and Prof. Carles Ventura Royo. He was also a member of the AIWELL Artificial Intelligence for Human Well-being Research Group.



June 29, 2023
Finalist in the SpinUOC 2023 competitions held by the University Oberta de Catalonia.
#SpinUOC 2023

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October 24, 2023
Winner of first place in SpinTEAM startups competitions held by Cambra de Comerç de Terrassa
#SPINteams 2023

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