Adam Caccavale

PhD Mechanical Engineering

Position: Lab Alumnus

Focus: Multi-Agent Mapping & Tracking with Novel Environment Representations

Adam is a PhD candidate at Stanford University. His research centers on the union of perception, relative pose estimation & mapping, deep 3D reconstruction, and Bayesian filtering. His 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.