Welcome to the Robotics, Vision and Control (ROVIS) Laboratory
Our vision: "Enabling robotic systems to sense and interact with the physical world "

Welcome to the Robotics, Vision and Control (ROVIS) Laboratory at the Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov. The group is led by Assoc. Prof. Sorin Grigorescu.

Our research is motivated by the vision of robotic systems which sense and interact with the physical world. Visual perception methods, mainly designed in the computational intelligence community, are often decoupled from the low-level control algorithms developed in the automatic control community. Our research stands at the confluence of Artificial Intelligence (AI), robot vision and control theory, aiming to build real-time visual-based control algorithms for robots operating in challenging, unstructured and changing environments.
We address this problem based on our Vision Dynamics paradigm, aiming to bridge the gap between robot vision and low-level control. An important aspect of our approach is learning the dynamics of the working environment through AI and deep learning methods. Our core application is the visual-based control of autonomous vehicles.

Our research projects are classified into:
- developing novel visual-based learning and control algorithms for robotic systems operating in real-world scenarios, and
- applying our proposed methodologies to challenging real-world problems, such as autonomous driving.

Visit our research page to learn more about our projects.

Research topics

Vision Dynamics

Real-time perception and localization based on artificial intelligence and dynamic models of vision. Designing control strategy for visually-based actuated systems in the presence of uncertainties and nonlinear scene dynamics.

Autonomous Vehicles

Solving perception, planning and motion control for autonomous systems. The driving functions map sensory input to control output and are implemented either as modular perception-planning-action pipelines, End2End, or Deep Reinforcement systems which directly map observations to driving commands.

Rehabilitation Robotics

Helping people with robotics technology. The goal of therapy robots is to help patients recover from different forms of accidents and maladies. On the other hand, assistive robots are there mainly to support persons with disabilities in Activities of Daily Living (ADL) and professional life.


Group picture at the European Robotics Forum 2019.

Latest news:

RovisLab team interacts with students

An interactive demo of autonomous vehicle navigation was presented at the “Sergiu T. Chiriacescu” Aula, during an even, called “IESC si companiile” (Electrical Engineering Faculty and the Companies), organized by the Transilvania University of Brasov.

ROVISlab team at European Robotics Forum 2020

The latest technologies and advanced prototypes of robots combined with many workshops and presentations about the robotic field were some of the highlights from the European Robotics Forum, which was held in Malaga Spain, between 3-6 of March 2020.

NeuroTrajectory presentation at IROS 2019 in Macao

Our work on the NeuroTrajectory local state estimation approach, also published in the IEEE Robotics and Automation Letters (RA-L), was presented at IROS 2019 in Macao, China.

ROVISLab team attending the Cluj Unmanned Aerial Vehicle (UAV) contest - 2019

Congratulations to our ROVISLab team, which managed to get 3rd place at the first autonomous drone contest held at the Technical University of Cluj-Napoca.

Survey of Deep Learning Techniques for Autonomous Driving

Our article entitled A Survey of Deep Learning Techniques for Autonomous Driving has been accepted
for publication in the Journal of Field Robotics, one of the highest ranked journals world-wide in the area of robotics.

East European Summer School (EEML) in Bucharest

ROVISTeam attending to the East European Summer School 2019 in Bucharest. It was a greate full week around core topics regarding machine learning and artificial intelligence.