Finn, Chelsea

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M. K., Chen, L. Y., Ellis, K., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M., Chen, L., Ellis, K., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Mitchell, E., Lee, Y., Khazatsky, A., Manning, C. D., & Finn, C. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 151

Octo: An Open-Source Generalist Robot Policy

Ghosh, D., Walke, H., Pertsch, K., Black, K., Mees, O., Dasari, S., Hejna, J., Kreiman, T., Xu, C., Luo, J., et al. (2024) · Robotics: Science and Systems XX

Robotics and Automated SystemsReinforcement Learning in Robotics

Cited by 129

Efficiently Identifying Task Groupings for Multi-Task Learning

Fifty, C., Amid, E., Zhao, Z., Yu, T., Anil, R., & Finn, C. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 125

Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback

Tian, K., Mitchell, E., Zhou, A., Sharma, A., Rafailov, R., Yao, H., Finn, C., & Manning, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 123

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

Jiang, Y., Gu, S., Murphy, K., & Finn, C. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 109

Fast Model Editing at Scale

Mitchell, E., Lin, C., Bosselut, A., Finn, C., & Manning, C. D. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 95

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Ebert, F., Yang, Y., Schmeckpeper, K., Bucher, B., Georgakis, G., Daniilidis, K., Finn, C., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 94

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Ebert, F., Yang, Y., Schmeckpeper, K., Bucher, B., Georgakis, G., Daniilidis, K., Finn, C., & Levine, S. (2022) · Robotics: Science and Systems XVIII

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 94

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Kim, M., Finn, C., & Liang, P. (2025) · Robotics: Science and Systems XXI

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 77

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Pertsch, K., Stachowicz, K., Ichter, B., Driess, D., Nair, S., Vuong, Q., Mees, O., Finn, C., & Levine, S. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 73

OpenVLA: An Open-Source Vision-Language-Action Model

Kim, M. J., Pertsch, K., Karamcheti, S., Xiao, T., Balakrishna, A., Nair, S., Rafailov, R., Foster, E., Lam, G., Sanketi, P., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 62

Memory-Based Model Editing at Scale

Mitchell, E., Lin, C., Bosselut, A., Manning, C. D., & Finn, C. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 51

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Nakamoto, M., Zhai, Y., Singh, A., Mark, M. S., Ma, Y., Finn, C., Kumar, A., & Levine, S. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 38

Open-World Object Manipulation using Pre-trained Vision-Language Models

Stone, A., Xiao, T., Lu, Y., Gopalakrishnan, K., Lee, K.-H., Vuong, Q., Wohlhart, P., Kirmani, S., Zitkovich, B., Xia, F., et al. (2023) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 33

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Xie, A., Lee, L., Xiao, T., & Finn, C. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 28

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Xie, A., Lee, L., Xiao, T., & Finn, C. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 28

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

Sontakke, S. A., Zhang, J., Arnold, S. M. R., Pertsch, K., Bıyık, E., Sadigh, D., Finn, C., & Itti, L. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 23

Disentangling Length from Quality in Direct Preference Optimization

Park, R., Rafailov, R., Ermon, S., & Finn, C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

Octo: An Open-Source Generalist Robot Policy

Octo Model Team, Ghosh, D., Walke, H., Pertsch, K., Black, K., Mees, O., Dasari, S., Hejna, J., Kreiman, T., Xu, C., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 18

Fine-tuning Language Models for Factuality

Tian, K., Mitchell, E., Yao, H., Manning, C. D., & Finn, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

$π_0$: A Vision-Language-Action Flow Model for General Robot Control

Black, K., Brown, N., Driess, D., Esmail, A., Equi, M., Finn, C., Fusai, N., Groom, L., Hausman, K., Ichter, B., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13