Finn, Chelsea

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Nasiriany, S., Xia, F., Yu, W., Xiao, T., Liang, J., Dasgupta, I., Xie, A., Driess, D., Wahid, A., Xu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 13

Visual adversarial imitation learning using variational models

Rafailov, R., Yu, T., Rajeswaran, A., & Finn, C. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12

BridgeData V2: A Dataset for Robot Learning at Scale

Walke, H., Black, K., Lee, A., Kim, M. J., Du, M., Zheng, C., Zhao, T., Hansen-Estruch, P., Vuong, Q., He, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 12

Supervised Pretraining Can Learn In-Context Reinforcement Learning

Lee, J., Xie, A., Pacchiano, A., Chandak, Y., Finn, C., Nachum, O., & Brunskill, E. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 11

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Putta, P., Mills, E., Garg, N., Motwani, S., Finn, C., Garg, D., & Rafailov, R. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 10

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation

ALOHA 2 Team, Aldaco, J., Armstrong, T., Baruch, R., Bingham, J., Chan, S., Draper, K., Dwibedi, D., Finn, C., Florence, P., et al. (2024) · arXiv

Teleoperation and Haptic SystemsRobot Manipulation and Learning

Cited by 8

Supervised Pretraining Can Learn In-Context Reinforcement Learning

Lee, J. N., Xie, A., Pacchiano, A., Chandak, Y., Finn, C., Nachum, O., & Brunskill, E. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 7

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. D. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 5

Evaluating Real-World Robot Manipulation Policies in Simulation

Li, X., Hsu, K., Gu, J., Pertsch, K., Mees, O., Walke, H. R., Fu, C., Lunawat, I., Sieh, I., Kirmani, S., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 4

Meta-Harness: End-to-End Optimization of Model Harnesses

Lee, Y., Nair, R., Zhang, Q., Lee, K., Khattab, O., & Finn, C. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3

$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Intelligence, P., Black, K., Brown, N., Darpinian, J., Dhabalia, K., Driess, D., Esmail, A., Equi, M., Finn, C., Fusai, N., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 3

Robotic Control via Embodied Chain-of-Thought Reasoning

Zawalski, M., Chen, W., Pertsch, K., Mees, O., Finn, C., & Levine, S. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 2

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling

Liu, Y., Hamid, J. I., Xie, A., Lee, Y., Du, M., & Finn, C. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Shi, L. X., Ichter, B., Equi, M., Ke, L., Pertsch, K., Vuong, Q., Tanner, J., Walling, A., Wang, H., Fusai, N., et al. (2025) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 1

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

Kim, M. J., Finn, C., & Liang, P. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 1

Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison

Lee, Y., Boen, J., & Finn, C. (2025) · arXiv

Topic ModelingComputational Drug Discovery Methods

Cited by 0

LLM-as-a-Verifier: A General-Purpose Verification Framework

Kwok, J., Li, S., Atreya, P., Liu, Y., Jiang, Y., Finn, C., Pavone, M., Stoica, I., & Mirhoseini, A. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0