Digital Twins and Edge Autonomy at Arrive AI

What I’m doing

I joined Arrive AI after finishing my PhD, and the work is a direct continuation of it: simulation first, hardware second, with the gap between them as the actual engineering problem.

Simulation at scale. Building a digital twin environment in NVIDIA Isaac Sim so scenarios can be tested before anything is deployed in the real world. This is the part of my research I most wanted to keep doing — a simulator earns its keep when it catches a failure that would otherwise have happened outdoors, in front of someone.

Autonomy architecture. Developing the autonomy stack for a mobile robot platform, integrating reinforcement learning policies with vision-language models (VLM) and vision-language-action (VLA) models — including deploying open VLA models such as OpenVLA and OpenPI — so the robot can act on an instruction rather than only on a waypoint list.

Perception and inference. Evaluating and optimizing vision transformers for real-time perception, accelerating inference with NVIDIA Triton, the DeepStream SDK and TensorRT.

Choosing the silicon. Profiling edge devices for the latency-throughput trade-offs that decide what actually fits on the robot — Jetson Orin Nano, Orin AGX and Thor (Blackwell), and, beyond NVIDIA, Qualcomm’s IQ9075 and hardware from Infineon Technologies. Picking a compute platform is a decision you live with for years, so it’s worth measuring rather than assuming.

Getting it to the fleet. Architecting the containerized AI inference codebase with Docker so deployment is repeatable rather than artisanal, working with the platform team on the k3s side of getting it out to the fleet. I also build the web frontend for low-latency WebRTC video streaming.

About Arrive AI

Arrive AI connects people, robots and drones through the Arrive Point™ Network, built to scale the future of delivery. This page describes my work at the level it appears on my resume — the systems themselves aren’t mine to show, so there’s no footage or product detail here. If you’d like to talk about any of it in more depth, get in touch.