Adam Caccavale
PhD Mech. Engineering
Position: Lab Alumnus
Focus: Multi-Agent Mapping & Tracking w/ Novel Environment Representations
Bio:
I’m a PhD candidate at Stanford University with an expected graduation date of February 2022.
My research centers on the union of perception, relative pose estimation & mapping, deep 3D reconstruction, and Bayesian filtering.
My research projects and publications include a deep object-oriented visual odometry pipeline representing geometry as NeRFs (implicit geometric neural networks), a lightweight relative pose estimation algorithm that runs onboard our lab’s drones, and a decentralized swarm mapping framework for resource-constrained ground robots.
You can find my publications at https://msl.stanford.edu/publications/.