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Author

Eren Sadikoglu

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Preprint Oct 2026

ROOT: Discovering Rewards for User-Specified Embodied Behaviors

Reinforcement learning for embodied control remains constrained by the difficulty of reward specification. Although recent large language model (LLM)-based methods can synthesize reward functions from natural-language descriptions, they often fail to capture subtle behavioral properties that humans care about, such as...

Eren Sadikoglu, Aditya Taparia, Xin-Yuan Liu et al. · 0 citations
Preprint Aug 2026

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs

This paper introduces Physical Agentic AI, a framework for skill-grounded robot agent orchestration, in which each robot exposes a typed library of executable skills while a foundation model planner decomposes a task into phases and assigns each phase to a robot-skill pair.

Xin-Yuan Liu, Eren Sadikoglu, R. Chatterjee et al. · 0 citations

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