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David Dovrat, Ph.D.

Roboticist

Haifa, Israel

ddovrat@cs.technion.ac.il



Expertise

Multi-Agent Robotic Systems

Software Engineering

Computer Programming

Control Theory

Real-Time Embedded Systems

Taekwondo

Capoeira


Languages

Hebrew

English



Publications

Journal Papers
  • David Dovrat, Twinkle Tripathy, and Alfred M. Bruckstein, "On tracking and capture in proportional-control bearing-only unicycle pursuit", IEEE Control Systems Letters, vol. 6, pp. 2132–2137, 2022.
  • David Dovrat and Alfred M. Bruckstein, "Antalate - a multi-agent autonomy framework", Frontiers in Robotics and AI, vol. 8, Aug. 2021.
  • David Dovrat and Alfred M. Bruckstein, "On gathering and control of unicycle a(ge)nts with crude sensing capabilities", IEEE Intelligent Systems, vol. 32, no. 6, pp. 40–46, Nov./Dec. 2017.

In Conference Proceedings

Technical Reports

Work Experience

Technion
Roboticist
Since 2022

I help faculty and students conduct research, design software and build robots for the MARS, CRL and CLAIR laboratories.

Research Assistant
2017 - 2018

Member of Prof. Alfred M. Bruckstein’s research group, focused on Swarm Robotics.

Software Engineer
2012 - 2013

Member of Prof. Miriam Zacksenhouse's Dynamic Locomotion team for Robil, the Israeli entrant to the DARPA Robotics Challenge.


Pointo
Co - Founder & CTO @ Pointo
2015 - 2017

Led all technological aspects of the company, including technological roadmap & vision, research & development.
Responsible for the design, implementation and deployment of the product from the idea stage, including system architecture, underlying algorithms, user interface, cloud platform, etc.
Managed the development team (in-house and out-source) & active management member.


Elbit Land Systems
Software Engineer
2008 - 2012

R&D, including the software design of the reactive path planning module for the Guardium Unmanned Ground Vehicle (UGV). Led the module’s design, implementation and integration with other modules from drawing board to deployment in the field.
Implemented various mechanisms for the Overhead Remote Control Weapon Station (ORCWS) family of products.

Education

The Henry & Marilyn Taub Faculty of Computer Science, Technion.
Ph.D. 2022

Technion Autonomous Systems Program.
M.Sc. 2017

The Andrew & Erna Viterbi Faculty of Electrical & Computer Engineering, Technion.
B.Sc. 2009