Cross-embodied quadruped navigation
Hierarchical navigation: a foundation-model visual planner driving a locomotion policy that transfers zero-shot to unseen robot morphologies.
I work where learning-based control meets real hardware: reinforcement learning for cross-embodiment generalization, multi-modal perception, and ROS2 software engineering — with the embedded and control experience to actually get robots running in the field.
Co-founded a 2-person robotics startup, leading product definition from 50+ user interviews through a prioritized technical spec and system architecture across a 12-month feasibility roadmap.

Paired a foundation-model visual planner (NoMaD) with a cross-embodied locomotion controller trained via PPO in NVIDIA Isaac Sim.
Morphology and domain randomization gave zero-shot transfer to unseen commercial-robot morphologies — 71–100% success across 4 terrain types.
Two years of graduate work in robotics and AI — control, perception and motion planning — ending in the cross-embodiment navigation research at NODE_05.

A late-fusion RGB + thermal pipeline using fine-tuned YOLOv5 and a custom MLP rescoring network, improving pedestrian-detection average precision by 28% in low light.

Multi-channel, fault-tolerant teleoperation stack for a USV — MAVROS/MAVLink bridging ROS commands to onboard ArduPilot over layered MQTT, P2P-VPN and redundant radio.
Low-latency multi-camera streaming (<200 ms end-to-end) on GStreamer + AWS.
Embedded control stack for a custom grasping manipulator: stepper control and kinematics on ROS2/Micro-ROS with MoveIt2 planning — 80% autonomous grasp success.
Containerized the full stack with Docker for one-command deployment.
Four-year mechatronics degree with a robotics and automation specialization — where the embedded and control work started.
Hierarchical navigation: a foundation-model visual planner driving a locomotion policy that transfers zero-shot to unseen robot morphologies.
Late-fusion RGB + thermal detection pipeline for pedestrian detection in low light.
Fault-tolerant multi-channel teleop bridging ROS to ArduPilot over MQTT, P2P-VPN and redundant radio, with multi-camera streaming on AWS.
Low-level stepper control and kinematics under MoveIt2 planning, containerized with Docker for one-command deployment.
Email me and I’ll ping you once when the first post lands. Nothing else.