Taylor Hudson

Papers

1

Total Citations

2

H-Index

1

About

Taylor Hudson is a leading researcher in situated and multi-modal human-robot interaction, with a focus on how humans and robots communicate during collaborative tasks. Their most notable contribution is the introduction of the Situated Corpus Of Understanding Transactions (SCOUT), a pioneering multi-modal human-robot dialogue corpus designed for collaborative exploration. This work, published in 2024, captures rich, real-world interactions from Wizard-of-Oz experiments, where participants gave verbal instructions to a remote robot, enabling deeper analysis of situated communication dynamics. While still early in its citation impact, SCOUT is poised to become a foundational resource for advancing dialogue systems and human-robot understanding. Hudson’s work bridges natural language processing, robotics, and cognitive science, offering critical insights into how robots can interpret and act upon human instructions in complex, real-world environments. Their research is essential for students and scholars exploring the future of collaborative robotics and intelligent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 16

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago