Teams at Laelaps AI

Build and deploy real-time robot state estimation systems using sensor fusion across IMUs, cameras, LiDAR, GNSS, and odometry. Improve localization and odometry in challenging environments, integrate estimates with perception, planning, and control, investigate failures using logs and simulations, and develop repeatable evaluation workflows. Collaborate with autonomy and field engineers to improve reliable performance across robot platforms.

Train and evaluate reinforcement learning policies for locomotion and low-level actuator control in simulation and on physical legged robots. Apply sim-to-real techniques, domain randomization, reward design, and robustness methods across varied terrain, weather, and sensor conditions. Build reproducible experiment and evaluation workflows, transfer policies between robot embodiments, and use strong software engineering practices including version control and experiment tracking.

Develop and deploy dependable navigation and path-planning systems for ground mobile robots operating at real customer sites. Responsibilities include sensor integration, terrain and traversability estimation, obstacle avoidance, behavior prediction, planning under localization uncertainty, field debugging, simulation, and validation on physical robots across varied weather and environments. Collaborate with autonomy, application, backend, and field engineers to improve reliability and deliver new capabilities.