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researcher

Francisco Cruz

4 papers hereh-index 29 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.RO2
same name
  • Francisco Cruz — 17 papers, h 19
  • Francisco Cruz — 5 papers, h 6
  • Francisco Cruz — 4 papers, h 0
  • Francisco Cruz — 4 papers, h 2
  • Francisco Cruz — 3 papers, h 3
  • Francisco Cruz — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedHow Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

Initiation Safety: A Missing Dimension in Generalist-Robot Safety

Zhijin Meng, Francisco Cruz

Safety for generalist robots is usually discussed in terms of motion or dialogue. We argue a third question is missing: should the robot take its first hard-to-undo social action a…

cs.HC2025

PERCY: Personal Emotional Robotic Conversational System

Zhijin Meng, Mohammed Althubyani, Shengyuan Xie +4

Traditional rule-based conversational robots, constrained by predefined scripts and static response mappings, fundamentally lack adaptability for personalized, long-term human inte…

cs.RO2024★ 2 cited

How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach

Abdulrahman Althobaiti, Angel Ayala, JingYing Gao +4

Large Language Models (LLMs) are transforming the robotics domain by enabling robots to comprehend and execute natural language instructions. The cornerstone benefits of LLM includ…

cs.HC2024★ 1 cited

MERCI: Multimodal Emotional and peRsonal Conversational Interactions Dataset

Mohammed Althubyani, Zhijin Meng, Shengyuan Xie +5

The integration of conversational agents into our daily lives has become increasingly common, yet many of these agents cannot engage in deep interactions with humans. Despite this,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.