Summary
Elijah Ong is a robotics-focused CTO and co-founder with 8 years of experience building physics-aware embodied AI that bridges cloud data engineering, embedded control, and precision mechatronics for real-world, contact-rich manipulation. At Devol Robots he architects systems that combine force-centric reasoning, physics-informed world models, and real-time edge inference to enable safe human-robot collaboration in unstructured environments. His background spans end-to-end robot development—from RL-based grasping work and dynamics libraries developed during graduate research at Oregon State to production force-control and haptic feedback systems at Roboligent. Elijah pairs hands-on implementation experience with leadership of cross-disciplinary teams, translating cutting-edge algorithms into scalable, deployable platforms. Notably, he has run IRB-backed human studies and automated physical trialbeds, reflecting a rare blend of experimental rigor and production engineering.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Robotics, Reinforcement Learning, Embodied AI, Master's degree, Robotics, Reinforcement Learning, Embodied AI at Oregon State University
English, Chinese