Perform real-time GPS-denied INS navigation for drones using a Pixhawk Cube Orange and Raspberry Pi 4 via MAVLink.
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Updated
Oct 6, 2026 - Python
Perform real-time GPS-denied INS navigation for drones using a Pixhawk Cube Orange and Raspberry Pi 4 via MAVLink.
Python sample codes and textbook for robotics algorithms.
Streamline real-world robot learning with an open-source stack for VLA fine-tuning, RL token training, and human-in-the-loop data collection.
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Autonomous modular seedling transplanter with zero-relative-velocity dibbling kinematics, RTK-GNSS + LiDAR SLAM, and elastoplastic soil-tool modeling.
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Dual-UAV docking research centered on UWB, AprilTag vision, PX4/MAVLink, and mother-frame relative localization.
Primer and seeded 2D simulation on navigating without trusting GNSS: jamming vs spoofing, VIO drift, VPR absolute fixes, EKF with Mahalanobis gating, spoofing carry-off and consistency monitors, RMSE/CEP/NEES.
Autonomous drone stack in ArduPilot + Gazebo + ROS 2 — SLAM, Nav2, redundant sensor fusion, perception, reactive avoidance, and fault injection, integrated into one autonomous mission.
GPS denied navigation and control for an Ackermann vehicle in a confined corridor. ROS 2 Jazzy, Gazebo Harmonic, C++. EKF localisation and a three way lateral controller comparison. Work in progress.
基于 NVIDIA JetRacer 的阿克曼小车 ROS 自主竞速栈:EKF 状态估计 · 轨迹跟踪控制 · 轨迹分析与 Gazebo 仿真
ROS 2 Jazzy multisensor state estimation using a custom C++17 EKF with wheel odometry, IMU and GNSS fusion, fault scenarios, Gazebo simulation and quantitative benchmarking.
Experimental Polyglot Autonomous Systems Platform - research-grade, non-weaponized UAV simulation. Independent safety veto layer, gated sensor fusion, Wi-Fi CSI presence sensing (inferred, never confirmed), contracts + graded health states + provenance + chaos testing. 59 tests. Civilian/research scope only.
Modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates
Physics-informed vehicle-dynamics estimation: batch, EKF, MLP and four PINNs benchmarked on the same braking data, with a model-mismatch study. Header-only C++17 edge port: 0 deps, 0 runtime allocations, 35 KB, Python parity to 1e-9.
Neural-aided IMU navigation for GPS-denied UAV flight. LSTM + RLS adaptive head + velocity-only Kalman filter. 0.259 m/s velocity error after 30s GPS denial on EuRoC MH_05.
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