Zachary Taylor is a senior researcher with 15 years’ experience developing autonomous micro-aerial systems, combining a PhD in Mechatronics and robotics research on camera–LiDAR calibration with a long tenure at ETH Zurich’s Autonomous Systems Lab. His work spans perception, state estimation, mapping, planning and control, with an emphasis on real-time, onboard solutions that let robots operate and perform useful tasks in unstructured environments. He is a pragmatic backend developer and active open-source contributor to widely used tools such as voxblox, the MSF sensor-fusion framework, RotorS simulator and lidar calibration libraries, improving robustness through better outlier rejection, mesh integration and ICP implementations. Based in Zurich, he pairs deep algorithmic expertise with hands-on system engineering—often addressing the practical limits of algorithms in simulation and hardware rather than only theory.
15 years of coding experience
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, 1st Class Honors, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, 1st Class Honors at University of Canterbury
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
Role in this project:
Backend Developer
Contributions:305 commits, 72 PRs, 151 pushes in 2 years 6 months
Contributions summary:Zachary made several commits focused on improving color blending within the voxblox library, including refactoring the color handling code to improve accuracy. They also exposed a "min mesh weight" parameter in the mesh integrator to control surface generation. Additional commits involved starting the implementation of a new interpolator, indicating a focus on improving the underlying functionality of the library.
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
Role in this project:
Backend Developer
Contributions:78 commits, 18 PRs, 26 pushes in 2 years 1 month
Contributions summary:Zachary appears to be developing the core functionality of a lidar-based system, focusing on extrinsic calibration between a 3D lidar and a 6-dof pose sensor. Their contributions include implementing Iterative Closest Point (ICP) algorithms for point cloud alignment. The commits reveal changes to the ICP implementation and the development of tools for sensor fusion and data processing.
extrinsic3d-lidarfindingmethodpcl
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