Robust 2D line detection from Lidar point clouds using the RANSAC algorithm in C.
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Updated
Jun 10, 2026 - C
Robust 2D line detection from Lidar point clouds using the RANSAC algorithm in C.
Experiments exploring probabilistic perception techniques used in robotics, including occupancy grids and localization concepts.
Learn ROS2 in Rust through practical, production-ready examples. Microstack implementing safety watchdogs, teleop mux, and sensor filters using r2r bindings with async-first design.
Python-based control system for the Marty robot featuring GUI teleoperation, path recording, sensor feedback, color-emotion interaction, and scripted dance execution.
Deterministic, sector-based 2D LiDAR processing for FSM-friendly robot safety and decision making in ROS 2.
ROS 2 framework for building lifecycle-component filter pipelines with typed ports, graph-based topic wiring, rqt editing, and reusable component families such as PCL filters.
An autonomous EEBOT maze-solving robot implemented entirely in HCS12 assembly, demonstrating real-time sensor processing, ATD conversion, LCD status display, motor control, and dispatcher-based state machine design on real hardware.
FPGA-based neuromorphic electronic-nose prototype using Zynq SoC, spiking neural networks, LIF neurons, gas-sensor data processing and hardware/software co-design.
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