PeopleofSuperintelligence

Researcher

Igor Gilitschenski

Igor Gilitschenski is a robotics and machine-learning researcher who builds perception and decision-making methods for robots and autonomous vehicles. He completed a doctorate at the Karlsruhe Institute of Technology in 2015, worked on visual navigation at ETH Zurich's Autonomous Systems Lab, and then led the autonomous driving research team of MIT's Distributed Robotics Lab. After joining the University of Toronto Mississauga in 2021, he shared a 2022 Sony Focused Research Award on neural radiance fields and helped develop the REPPO reinforcement-learning algorithm. He is an assistant professor at the University of Toronto, where he leads the Toronto Intelligent Systems Lab, and a faculty member at the Vector Institute.

Now at
University of Toronto Mississauga and Vector Institute
Badges

Timeline

  1. 2015

    A doctorate at KIT

    He defends his dissertation, Deterministic Sampling for Nonlinear Dynamic State Estimation, in April 2015 at the Karlsruhe Institute of Technology's Intelligent Sensor-Actuator-Systems lab, with University College London's Simon J. Julier as second advisor. Earlier, he earns a Diploma in Mathematics from the University of Stuttgart.

  2. 2020

    Best paper award at RA-L

    He receives a Best Paper Award at RA-L in 2020. His earlier Best Paper Awards come at Fusion in 2014 and at ACC in 2017.

  3. By 2021

    Autonomous driving at MIT

    He works on visual navigation at the Autonomous Systems Lab of ETH Zurich, then joins MIT as a research scientist in the Computer Science and Artificial Intelligence Lab and its Distributed Robotics Lab. By 2021, he is technical lead of the Distributed Robotics Lab's autonomous driving research team, works within the Toyota-CSAIL Joint Research Center, and advises MIT's driverless racing team.

  4. 2021

    Joining Toronto and Toyota Research

    In 2021, he joins the University of Toronto Mississauga as an assistant professor in the Department of Mathematical and Computational Sciences, in its Robotics Research Group. He also becomes a Research Scientist on the Toyota Research Institute's Risk Aware Driving Team as a contractor, building tools to predict the future behaviour of other vehicles, bicyclists and pedestrians around an autonomous car.

  5. 2022

    A Sony Focused Research Award

    He and Nandita Vijaykumar jointly receive a 2022 Sony Focused Research Award to explore neural radiance fields, a deep learning technique for representing and rendering 3D scenes. Their project, Fast and Efficient Online 3D Reconstruction on Resource-Constrained Devices using Implicit Neural Representations, aims to bring efficient 3D reconstruction to low-power mobile devices.

  6. 2024

    A project with Toyota Research

    In 2024, he and Florian Shkurti start a two-year project with the Toyota Research Institute on the sources of uncertainty, such as the movement of people and objects, that affect a robot's performance and reliability. It is the first time TRI collaborates with a Canadian university through its University Research Program.

  7. 2025

    The REPPO training algorithm

    With Claas Völcker and a nine-person team, he helps develop Relative Entropy Pathwise Policy Optimization (REPPO), a reinforcement-learning algorithm described in a 2025 paper and presented at the International Conference on Learning Representations. In testing, roughly 80 per cent of REPPO training runs reach and maintain high performance, compared with about 40 per cent for Proximal Policy Optimization.

  8. As of October 2026

    Leading the Toronto Intelligent Systems Lab

    He is an assistant professor in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga and a Vector Institute faculty member. He leads the Toronto Intelligent Systems Lab, which works on embodied AI and robot learning. With Nick Rhinehart, he receives 2026–2028 Joint Seed funding for a project on learning world models as data-driven simulators for robot manipulation of rigid and deformable objects.

Career

  1. Since 2021University of Toronto MississaugaAssistant Professor
  2. NowUniversity of TorontoLab Lead
  3. NowVector InstituteFaculty Member
  4. Until 2021Massachusetts Institute of TechnologyResearch Scientist and Technical Lead
  5. From 2021Toyota Research InstituteResearch Scientist (contractor)

Education

  1. 2015Karlsruhe Institute of TechnologyDoctorate
  2. University of StuttgartDiploma in Mathematics

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Igor Gilitschenski. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Toronto. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Toronto. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Igor Gilitschenski yet. Send us a free-licensed photo.

  1. KIT - ISAS - Research - Dissertations isas.iar.kit.edu. Checked 21 October 2026.
  2. Igor Gilitschenski - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 21 October 2026.
  3. U of T's Department of Computer Science welcomes its newest faculty members web.cs.toronto.edu. Checked 21 October 2026.
  4. Igor Gilitschenski named Research Scientist at Toyota Research Institute robotics.utoronto.ca. Checked 21 October 2026.
  5. Nandita Vijaykumar and Igor Gilitschenski win 2022 Sony Focused Research Award web.cs.toronto.edu. Checked 21 October 2026.
  6. Toyota Research Institute partners with U of T researchers to advance vision-language models for robot manipulation robotics.utoronto.ca. Checked 21 October 2026.
  7. U of T researchers develop breakthrough method for faster, more reliable AI training robotics.utoronto.ca. Checked 21 October 2026.
  8. Robotics Institute researchers receive U of T Joint Seed funding to advance robot learning robotics.utoronto.ca. Checked 21 October 2026.
  9. Toronto Intelligent Systems Lab tisl.cs.utoronto.ca. Checked 21 October 2026.
  10. Igor Gilitschenski | Mathematical & Computational Sciences utm.utoronto.ca. Checked 21 October 2026.