Christopher Agia

Stanford University — United States

Computer Science · Physical Sciences

10h-index641citations29works13.42yr avg
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Research Topics

Reinforcement Learning in Robotics(9), Robot Manipulation and Learning(8), Robotic Path Planning Algorithms(5), AI-based Problem Solving and Planning(5), Robotics and Sensor-Based Localization(4)

Publications29 total

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
arXiv (Cornell University)·2025Open Access
CUPID: Curating Data your Robot Loves with Influence Functions
arXiv (Cornell University)·2025Open Access
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
2025
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
arXiv (Cornell University)·2025Open Access
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
arXiv (Cornell University)·2024Open Access
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
arXiv (Cornell University)·2024Open Access
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
arXiv (Cornell University)·2024· 1 citedOpen Access
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications
arXiv (Cornell University)·2024· 2 citedOpen Access
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
arXiv (Cornell University)·2024Open Access
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
2024· 93 citedOpen Access
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
2024· 25 citedOpen Access
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
arXiv (Cornell University)·2024Open Access
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
2024· 98 cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
arXiv (Cornell University)·2024· 3 citedOpen Access
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
2024· 5 cited
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
arXiv (Cornell University)·2024Open Access
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
2024· 1 citedOpen Access
Text2Motion: from natural language instructions to feasible plans
Autonomous Robots·2023· 181 cited
Semantic anomaly detection with large language models
Autonomous Robots·2023· 77 cited
STAP: Sequencing Task-Agnostic Policies
2023· 11 cited
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Frequent Co-authors

Marco Pavone(15), Jeannette Bohg(11), Jiajun Wu(5), Amine Elhafsi(5), Rohan Sinha(5), Toki Migimatsu(4), Rohan Sinha(4), Edward Schmerling(4), Issa Nesnas(4), Kevin Lin(3), Abdul Rehman(3), Abhiram Maddukuri(3), Alexander Khazatsky(3), Annie Xie(3), Archit Sharma(3), Arefeh Yavary(3), Arhan Jain(3), Ashwin Balakrishna(3), Blake Wulfe(3), Charlotte Le(3)