Jacob Sansom
Papers
1
Total Citations
19
H-Index
1
About
Jacob Sansom is a rising researcher at the forefront of embodied AI and autonomous driving, with a focus on bridging the gap between large language models (LLMs) and real-world human-robot interaction. His most notable contribution is the development of **DriVLMe**, a pioneering framework that enhances LLM-based autonomous driving agents by integrating embodied and social experiences—a critical step beyond oversimplified simulation environments. This work, published in 2024 and already garnering 19 citations, addresses the under-explored challenge of enabling AI to navigate the nuanced, dynamic social contexts of human environments. Sansom’s research lies at the intersection of foundation models, robotics, and cognitive science, aiming to create agents that not only perceive but also socially reason. By pushing autonomous systems toward richer, more realistic benchmarks, he is shaping a future where AI can safely coexist with humans. His early impact signals a promising trajectory in making autonomous driving not just technically proficient, but socially aware.
Research Focus
Key Achievements
Top Papers
- 1