NURMUKHAMBET SERIKBAYEV

Overview: Led the Lunar Rover Space Exploration Project at CISS (Center for Innovation in Science & Space), overseeing a team of interns, verifying electrical design, and presenting the final system at the Dubai Air Show 2025. Rover was developed from scratch — fully (hardware and software) — by us, interns at CISS.

Key Contributions:

• Led a team of interns — managed electrical design verification and troubleshooting
• Developed autonomous navigation software using ROS2, NAV2, and SLAM Toolbox, leveraging PyTorch and TensorFlow
• Integrated Vision-Language-Action (VLA) and LLM models into the Lunar Rover
• Validated system accuracy in Gazebo and MuJoCo simulation environments
• Presented the completed rover at the Dubai Air Show 2025

Videos & more — Google Drive

Overview: Used the Unitree Go2 quadruped robot with an Intel D435i depth camera for autonomous navigation and computer vision integration. Achieved a 40% reduction in system downtime through Linux environment optimization.

Key Contributions:

• Integrated Unitree Go2 + D435i with ROS2 Humble on Linux for full autonomy pipeline
• Developed and maintained Linux-based testing environment for autonomous vehicle runs
• Implemented advanced computer vision algorithms for navigation accuracy
• Reduced system downtime by 40% through performance optimization

Videos & more — Google Drive

Overview: Used the Unitree L2 LiDAR for autonomous navigation, designed PCB circuits, and gained hands-on experience with CAN communication on Jetson Orin hardware.

Key Contributions:

• Deployed Unitree L2 LiDAR for real-time autonomous navigation
• Designed circuits for PCB boards, reducing troubleshooting time by 4–5 hours
• Gained CAN communication and timing expertise with ROS2 on Jetson Orin
• Improved system integration efficiency across hardware/software stack

Videos & more — Google Drive

Overview: Developed a ROS2 package using D435i sensors and Jetson CUDA GPUs to build dense 3D point cloud maps. Achieved a 70% reduction in localization errors using a custom costmap + cartographer algorithm.

Key Contributions:

• Built ROS2 package for 3D point cloud mapping using D435i + Jetson CUDA GPU
• Created improved indoor localization algorithm using costmaps + cartographer mode
• Reduced localization errors by 70% compared to baseline
• Optimized GPU-accelerated processing pipeline for real-time performance

Overview: Researched hardware/software co-optimization for Spiral Neural Networks on Qualcomm QRB5 edge AI chips (eBrainChips), optimizing how AI models are deployed onto neuromorphic hardware.

Key Contributions:

• Used Qualcomm QRB5 toolkit for embedded AI benchmarking
• Optimized Spiral Neural Networks for better embedded AI computation
• Explored quantization and pruning techniques for chip deployment
• Analyzed power vs. accuracy tradeoffs on eBrainChip hardware

Overview: Complete end-to-end design, simulation, fabrication, and testing of a functional ECG board — from analog front-end schematic to a physically tested PCB that captures real cardiac signals.

Key Contributions:

• Designed analog front-end: instrumentation amplifier, bandpass filters, gain stages
• Schematic capture and PCB layout in Altium Designer
• Fabricated board and performed full electrode signal testing
• Validated output waveform against reference ECG signal

Overview: Modeled the inverted pendulum dynamics, derived transfer functions in MATLAB, and designed a PID controller that successfully stabilizes a physical two-wheel robot in real-time.

Key Contributions:

• Derived linearized equations of motion for the inverted pendulum system
• Calculated open/closed-loop transfer functions in MATLAB
• Tuned PID gains using root locus and Bode plot analysis
• Successfully tested and validated on physical hardware

Overview: Assembled a full FPV drone from scratch (hardware + software) and developed PX4-based simulation software for training drone pilots.

Key Contributions:

• Full hardware assembly: frame, motors, ESCs, flight controller, FPV camera
• Configured and flashed PX4 firmware on flight controller
• Developed pilot training simulation software on PX4 platform
• Performed calibration and maiden flight testing