Tianchong Jiang
Papers
2
Total Citations
31
H-Index
2
About
Tianchong Jiang is a rising researcher at the forefront of embodied AI and robotics, specializing in integrating large language models (LLMs) with physical agents for complex, real-world reasoning. His most impactful contribution is the development of **Statler**, a state-maintaining language model framework that enables robots to not only perceive their environment but also continuously track and reason about the histories of their own actions and observations. This work, published in 2024, has already garnered **23 citations** and represents a significant leap beyond static, single-shot reasoning approaches. By allowing LLMs to maintain an evolving internal state, Statler empowers robots to perform long-horizon tasks, such as sequential manipulation and navigation, with greater coherence and adaptability. Jiang’s research bridges the gap between high-level symbolic reasoning and low-level sensorimotor control, addressing a critical bottleneck in embodied intelligence. His work has been recognized for its novelty in the robotics and NLP communities, with an earlier version of Statler (2023) also accumulating **8 citations**. As a young scholar, Jiang is already shaping how future robots will think, remember, and act in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Statler: State-Maintaining Language Models for Embodied Reasoning23 citations · 2024
- 2Statler: State-Maintaining Language Models for Embodied Reasoning8 citations · 2023