Alenna C. Spiro

PhD Student · Northeastern Autonomy and Intelligence Laboratory

prof_pic.jpg

720 EXP Building

815 Columbus Avenue

Boston, MA 02120

Hi! I’m Alenna, a PhD student in Computer Science at Northeastern University. I’m interested in making robotic systems more efficient and autonomous by using biologically inspired mechanisms. Building upon work from psychology and neuroscience, I’m interested in understanding how animals and humans learn and make decisions, and applying similar principles to computer vision, robotics, and machine learning. My current research focuses on robotic self-awareness, determining whether a given fault requires immediate intervention or can be safely ignored.

Research interests

  • Reinforcement learning and learning-based control
  • Decision-making under uncertainty and risk-sensitive planning
  • Robot self-awareness and cost-optimal fault recovery
  • Biologically inspired learning — bridging psychology and neuroscience to robotics
  • Computer vision for perception and affordances

Currently building

Savvy — a privacy-conscious AI secretary that runs locally and connects an LLM to your calendar, email, tasks, and messages. Browse my projects, read my CV, or find my code on GitHub.

Selected Publications

  1. Preprint
    ENCORE: Environment-aware Cost-optimal Fault Recovery
    Alenna Spiro and Michael Everett
    2025
    In preparation
  2. Learning Smooth State-Dependent Traversability from Dense Point Clouds
    Zihao Dong, Alan Papalia, Leonard Jung, Alenna Spiro, Philip R. Osteen, Caleb S. Robison, and Michael Everett
    In Conference on Robot Learning (CoRL), 2025
  3. CDC
    A Hybrid Framework for Efficient Koopman Operator Learning
    Leonard Jung, Alenna Spiro, Alexander Estornell, Michael Everett, and Mario Sznaier
    In 2025 IEEE 64th Conference on Decision and Control (CDC), 2025
  4. Evaluating Sensorimotor Abstraction on Curricula for Learning Mobile Manipulation Skills
    Oscar Youngquist, Alenna Spiro, Khoshrav Doctor, and Roderic Grupen
    In 2022 IEEE International Conference on Development and Learning (ICDL), 2022