mlsanityData to 7 Oct 2026

Dobby: A Conversational Service Robot Driven by GPT-4

arXiv 2310.06303 ↗First posted 10 Oct 2023cs.RO cs.AIcited by 4

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Abstract (arXiv)

This work introduces a robotics platform which embeds a conversational AI agent in an embodied system for natural language understanding and intelligent decision-making for service tasks; integrating task planning and human-like conversation. The agent is derived from a large language model, which has learned from a vast corpus of general knowledge. In addition to generating dialogue, this agent can interface with the physical world by invoking commands on the robot; seamlessly merging communication and behavior. This system is demonstrated in a free-form tour-guide scenario, in an HRI study combining robots with and without conversational AI capabilities. Performance is measured along five dimensions: overall effectiveness, exploration abilities, scrutinization abilities, receptiveness to personification, and adaptability.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 7 of its 24 references that are in the map. First posted on arXiv 10 Oct 2023.

Builds on

7 of 24 references.

References · 7

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  4. 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
  5. 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,029
  6. 2023Statler: State-Maintaining Language Models for Embodied Reasoningcited by 40
  7. 2023Improved Trust in Human-Robot Collaboration with ChatGPTcited by 18

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Citing papers per year: 2024: 3; 2025: 1.

4 papers.