Publications

Recent innovations in multimodal action models represent a promising direction for developing general-purpose agentic systems, combining visual understanding, language comprehension, and action generation. We introduce MultiNet - a novel, fully open-source benchmark and surrounding software ecosystem designed to rigorously evaluate

Vision-language-action (VLA) models represent an important step toward general-purpose robotic systems by integrating visual perception, language understanding, and action execution. However, systematic evaluation of these models, particularly their zero-shot generalization capabilities in procedurally out-of-distribution (OOD) environments, remains limited. In this

The expanding space economy has created an urgent need for reliable on-orbit transportation systems to support both commercial and scientific missions. This paper explores a cooperative approach to orbital transportation, where a swarm of spacecraft agents, each securely attached to

We propose affine concept editing (ACE) as an approach for steering language models' behavior by intervening directly in activations. We begin with an affine decomposition of model activation vectors and show that prior methods for steering model behavior correspond to

Below is the abstract for our recent paper, "Intelligent Digital Agents in the Era of Large Language Models". We’re growing our Research Team and pursuing new projects. If you’re interested in working together, join the conversation on