Andrew Pasco

Robotics Researcher at Stanford

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Andrew Pasco

Education

Stanford University, Stanford, CA
MS Candidate in Mechanical Engineering, Robotics Depth (Sep 2025 – Dec 2026)
Key Courses: Robot Perception, Principles of Robot Autonomy, Collaborative Robotics, Control Design Techniques, Machine Learning, Deep Learning

University of Cambridge, Cambridge, UK
MPhil in Industrial Systems, Manufacture, and Management (Oct 2024 – Aug 2025)
Thesis: “Exploring Smartphone-Enabled Gesture Input for Intuitive Robot Teleoperation”
Key Courses: Manufacturing Processes, Operations & Supply Chain Management, New Business Development, Innovation & IP Strategy

California Institute of Technology, Pasadena, CA
BS in Mechanical Engineering (Robotics Depth) and BEM (Both 4.0 GPA) (Sep 2020 – Jun 2024)
Key Courses: Robotics, Experimental Robotics, Robotic Systems, Data Analysis in Engineering, Statics and Mechanics of Materials, Dynamics, Engineering Design Laboratory, Dynamics, Design & Fabrication, Game Theory, Data Science in Economics

Work Experience

Stanford ARMLab – Graduate Researcher (Oct 2025 – Present)

  • Developing telerobotic interfaces and control systems for occluded bimanual manipulation.

Stanford Department of Mechanical Engineering – Course Assistant (Mar 2026 – Jun 2026)

ISMM Industrial Projects – Student Research Consultant (Dec 2024 – Mar 2025)

  • Completed four industrial consulting projects across England and Wales involving data analysis, process optimization, and strategic recommendations.
  • Implemented lean manufacturing principles and an inventory management system for RAM Innovations.
  • Improved R&D iteration speed for an espresso machine SME (saving 5–11 days per iteration).
  • Developed market-entry strategy and licensing model for a materials science startup.
  • Resolved line-balancing & inventory issues for Huhtamaki BCP, enabling £400k projected annual savings and reducing lead times by 5 days.

Beta Technologies – Mechanical Engineering Intern (Jun–Sep 2021, ’22, ’23)

  • Designed torque-transferring motor housing assembly and supporting manufacturing/verification plans.
  • Used Onshape, Solidworks, and CATIA for structural design of aircraft electrical component mounts.
  • Supported FAA air-worthiness certification of ALIA-250SN02 experimental aircraft.

Caltech Department of Mechanical Engineering – Teaching Assistant (Oct 2022 – Jun 2024)

Projects & Leadership

ME327: Vibrotactile Haptic Belt (May 2026)

  • Developed C++ control firmware integrating BLE threat tracking and BNO085 IMU orientation data.
  • Designed and fabricated 3D-printed modular belt enclosures for motor mounting and clean wire routing.

ME326: S.E.A.L. Team 6 (Collaborative Robotics) (Jan 2026 – Mar 2026)

  • Implemented bimanual manipulation kinematics and grasping state machine on TidyBot++ mobile robot platform.
  • Enabled voice-commanded retrieval, sorting, and precise pouring of objects in cluttered environments.

AA273: IMM Hand Pose Filtering (Feb 2026 – Mar 2026)

  • Implemented Interacting Multiple Model (IMM) filter with unit quaternion mixing for 6-DoF human wrist pose estimation.
  • Reduced false-positive abrupt motion detections by over 80% compared to velocity thresholds.

CS229: Point Cloud Mapping (Sep 2025 – Dec 2025)

  • Implemented ICP and uncertainty-weighted ICP using 3D Gaussian Splatting point cloud satellite models.
  • Built dataset and data loading infrastructure for training pose estimation models.

CS230: Learning-Based Visuo-Tactile Tendon Perception (Sep 2025 – Dec 2025)

  • Developed deep learning pipeline (MobileNetV3 and U-Net) for real-time (12.5Hz) depth reconstruction from tactile images.
  • Achieved 0.958 classification test accuracy and 4.18mm depth Mean Absolute Error (MAE).

MPhil Thesis (University of Cambridge): “Exploring Smartphone-Enabled Gesture Input for Intuitive Robot Teleoperation” (Jan 2025 – Aug 2025)

  • Developed smartphone-based hand-pose and gesture teleoperation interface for robot control.
  • Performed user studies, achieving comparable usability to state-of-the-art methodologies.
  • Integrated system with ROS1 backend under real-time constraints.

ME134: Robotic Systems – Interactive Robot Backgammon (Jan 2024 – Mar 2024)

  • Built ROS2-controlled tabletop backgammon robot with motion planning and game logic.
  • Developed OpenCV-based board and checker detection.
  • Demonstrated 20+ minutes of fully autonomous, error-free gameplay.

Lunar Architecture for Tree Traversal In-service-of Cabled Exploration (LATTICE) (Sep 2022 - Dec 2023)

  • Integrated and improved initial designs of a self-tensioning shuttle concept to ensure manufacturability, functionality, and compliance to the team’s internal weight and balance specifications using Fusion360 CAD.
  • Selected for Caltech Air and Outer Space NASA BIG Idea Challenge 2022 Design and Prototyping Team.
  • Contributed to LATTICE Team completion of the technology verification video and technical paper for NASA judges.

Leadership

  • Captain – Caltech NCAA DIII Men’s Swimming & Diving (May 2022 – Mar 2024)
  • President – Caltech Fleming House (Feb 2023 – Feb 2024)

Skills

  • Programming: Python (ROS2, OpenCV, ML/DL libraries), Linux, Swift, MATLAB
  • CAD: CATIA/3DX (V6), SolidWorks, Onshape, Fusion360
  • Organization: Confluence, Git, Overleaf, technical writing