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researcher

George Pappas

University of Pennsylvania

27 papers hereh-index 122.9k citations37 works total

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

author position
  • middle author20
  • last author5

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.LG11
  • cs.RO4
  • stat.ML4
  • cs.AI3
  • cs.CR2
  • cs.CL1
affiliations
  • University of Pennsylvania
HomepageORCID 0000-0001-9081-0637
same name
  • George Pappas — 4 papers, h 1
  • George Pappas — 3 papers, h 5
  • George Pappas — 2 papers, h 24
  • George Pappas — 1 paper, h 105

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 citedSafety Guardrails for LLM-Enabled Robots

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026★ 2 cited

Safety Guardrails for LLM-Enabled Robots

Zachary Ravichandran, Alexander Robey, Vijay Kumar +2

Although the integration of large language models (LLMs) into robotics has unlocked transformative capabilities, it has also introduced significant safety concerns, ranging from av…

cs.RO2025

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation

Francesco Marchiori, Rohan Sinha, Christopher Agia +4

Large Language Models (LLMs) and Vision-Language Models (VLMs) are increasingly deployed in robotic environments but remain vulnerable to jailbreaking attacks that bypass safety me…

cs.RO2025

Adversarial Attacks on Robotic Vision Language Action Models

Eliot Krzysztof Jones, Alexander Robey, Andy Zou +5

The emergence of vision-language-action models (VLAs) for end-to-end control is reshaping the field of robotics by enabling the fusion of multimodal sensory inputs at the billion-p…

cs.RO2024

Jailbreaking LLM-Controlled Robots

Alexander Robey, Zachary Ravichandran, Vijay Kumar +2

The recent introduction of large language models (LLMs) has revolutionized the field of robotics by enabling contextual reasoning and intuitive human-robot interaction in domains a…

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