George Konidaris Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

John Brown University

faculty

40 h-index 220 pubs 5,492 cited

Research Areas

Reinforcement Learning in Robotics Robot Manipulation and Learning Robotic Path Planning Algorithms Evolutionary Algorithms and Applications AI-based Problem Solving and Planning

Links

ORCID

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OverviewAI-generated summary

George Konidaris's research encompasses reinforcement learning for robotics, with a focus on robot manipulation, learning, and path planning. His work also explores evolutionary algorithms and AI-based problem-solving. Konidaris, a faculty member at John Brown University, was most recently published in 2025. His primary research interest lies in the intersection of artificial intelligence and robotics.

Metrics

  • h-index: 40
  • Publications: 220
  • Citations: 5,492

Selected Publications

  • Verifiably Following Complex Robot Instructions with Foundation Models (2025) DOI
  • Bootstrapping Object-Level Planning with Large Language Models (2025) DOI
  • Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models (2024) DOI
  • Skill Transfer for Temporal Task Specification (2024) DOI
  • Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback (2023) DOI
  • Q-functionals for Value-Based Continuous Control (2023) DOI
  • Optimistic Initialization for Exploration in Continuous Control (2022) DOI
  • Learning to Infer Kinematic Hierarchies for Novel Object Instances (2022) DOI
  • Robustly Learning Composable Options in Deep Reinforcement Learning (2021) DOI
  • Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter (2021) DOI
  • Deep Radial-Basis Value Functions for Continuous Control (2021) DOI
  • Bootstrapping Motor Skill Learning with Motion Planning (2021) DOI
  • Efficient Black-Box Planning Using Macro-Actions with Focused Effects (2021) DOI
  • Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion (2021) DOI

Collaborators

Researchers in the database who share publications

Stefanie Tellex John Brown University 17 shared publications Eric Rosen John Brown University 8 shared publications Michael L. Littman John Brown University 5 shared publications Jason Xinyu Liu John Brown University 3 shared publications David Paulius John Brown University 3 shared publications Benedict Quartey John Brown University 3 shared publications Ellie Pavlick John Brown University 1 shared publication Ifrah Idrees John Brown University 1 shared publication

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