João Monteiro
Lead Software Engineer at the LEGO Group
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolJoão Monteiro is a Lead Software Engineer based in Copenhagen with 8 years of experience building robotics and embedded systems from research prototypes to production products. He combines hands-on technical depth—contributing core trajectory-planning logic and obstacle-avoidance constraints to a ROS Timed-Elastic-Bands planner—with leadership roles at LEGO and scale-up robotics firms where he has driven product development and engineering teams. As co-CEO of dotBot and former CTO at coalescent mobile robotics, he pairs entrepreneurial instincts with a PhD-level research background in control and automation from UFRJ. João is comfortable spanning low-level control, system integration, and product strategy, and has a knack for turning novel research ideas into robust, deployable systems. An interesting detail: his open-source work includes velocity-scaling and divergence-detection features for mobile-robot planners—practical fixes that reflect a preference for resilient real-world behavior.
8 years of coding experience
9 years of employment as a software developer
Bachelor's Degree in Engineering, Control and Automation, Bachelor's Degree in Engineering, Control and Automation at Universidade Federal do Rio de Janeiro / UFRJDoctor of Sciences - D. Sc., Electrical Engineering, Doctor of Sciences - D. Sc., Electrical Engineering at Universidade Federal do Rio de Janeiro
Portuguese, English, Spanish
Github Skills (10)
trajectory-optimization10
controls10
control-theory10
c-language10
cprogramming-language10
ros10
controlling10
controlled10
control-flow10
g2o9
Programming languages (9)
Github contributions (5)
rst-tu-dortmund/teb_local_planner
May 2020 - Dec 2020
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
Role in this project:
Backend Developer
Backend DeveloperContributions:1 review, 9 commits, 5 PRs in 6 months
Contributions summary:João implemented and refactored core components of the trajectory planner. Their work included cleaning and reorganizing header files, moving includes to source files. The user also added new constraints related to obstacle avoidance and implemented a mechanism to reduce the robot's velocity based on proximity to obstacles. Furthermore, the user made updates to the configuration parameters and added a feature to detect if the planner diverged.
path-planningroboticsmobile-robotsros-packageelastic
jcmonteiro/matlab2tikz
Oct 2019 - Jun 2024
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
Contributions:1 push, 2 branches in 4 years 8 months
matlabpgfplotsfigureslatexoctave
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