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researcher

Lukas Brunke

University of Toronto

21 papers hereh-index 111.3k citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author10
  • middle author9

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • eess.SY8
  • cs.LG2
affiliations
  • University of Toronto
  • Vector Institute
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedSafety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents

14 citations · 35 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.RO2025

Improving Drone Racing Performance Through Iterative Learning MPC

Haocheng Zhao, Niklas Schlüter, Lukas Brunke +1

Autonomous drone racing presents a challenging control problem, requiring real-time decision-making and robust handling of nonlinear system dynamics. While iterative learning model…

cs.RO2025★ 1 cited

Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments

Benjamin Bogenberger, Oliver Harrison, Orrin Dahanaggamaarachchi +4

Robots deployed in real-world environments, such as homes, must not only navigate safely but also understand their surroundings and adapt to changes in the environment. To perform…

eess.SY2025

Addressing Relative Degree Issues in Control Barrier Function Synthesis with Physics-Informed Neural Networks

Lukas Brunke, Siqi Zhou, Francesco D'Orazio +1

In robotics, control barrier function (CBF)-based safety filters are commonly used to enforce state constraints. A critical challenge arises when the relative degree of the CBF var…

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