Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
Develops robot learning methods, including meta-learning and vision-language-action policies for manipulation.
Chelsea Finn's lab at Stanford works on manipulation & robot learning, robot perception & SLAM and vision-language & multimodal. 112 papers since 2023, 98 at top venues, mostly ICLR and CoRL. Applications close .
At a glance
- papers, 2023–2026
- 29/ year
- at T1 venues
- 88%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 12 papers2026 · T1 11 · collecting
- 19 papers2025 · T1 16
- 47 papers2024 · T1 40
- 34 papers2023 · T1 31
T1 venuesOtherVenues: ICLR, CoRL, NeurIPS, RSS, ICML
Research focuspaper titles that use each topic's words
- Manipulation & robot learning58 papers
- Vision-language & multimodal25 papers
- Robot perception & SLAM18 papers
- vision-language-action5 papers
- meta-learning1 paper
Paper list
From the lab homepage and DBLP.
202612 papers
- ICRA (T1)ALOHA Lightning: Learning Fast and Precise Manipulation (opens in a new tab)
- ICLR (T1)Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning (opens in a new tab)
- ICLR (T1)Ctrl-World: A Controllable Generative World Model for Robot Manipulation (opens in a new tab)
- ICLR (T1)EXPO: Stable Reinforcement Learning with Expressive Policies (opens in a new tab)
- ICLR (T1)FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users (opens in a new tab)
- Trans. Mach. Learn. Res.Inference-Time Alignment via Hypothesis Reweighting (opens in a new tab)
- ICLR (T1)Polychromic Objectives for Reinforcement Learning (opens in a new tab)
- ICLR (T1)RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems (opens in a new tab)
- ICLR (T1)Scaling up Memory for Robotic Control via Experience Retrieval (opens in a new tab)
- ECCV (T1)Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment (opens in a new tab)
- ICLR (T1)Value Flows (opens in a new tab)
- ICLR (T1)What Matters for Batch Online Reinforcement Learning in Robotics? (opens in a new tab)
202519 papers
- FOUNDATIONS AND TRENDS IN MACHINE LEARNINGA Tutorial on Meta-Reinforcement Learning (opens in a new tab)
- —ADAPT ON-THE-GO: BEHAVIOR MODULATION FOR SINGLE- LIFE ROBOT DEPLOYMENT
- IROS (T1)Affordance-Guided Reinforcement Learning via Visual Prompting (opens in a new tab)
- ICLR (T1)Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling (opens in a new tab)
- ICRA (T1)Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models (opens in a new tab)
- CVPR (T1)CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models (opens in a new tab)
- ICLR (T1)Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval (opens in a new tab)
- IROS (T1)Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models (opens in a new tab)
- ICML (T1)Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models (opens in a new tab)
- ICML (T1)Latent Diffusion Planning for Imitation Learning (opens in a new tab)
- NeurIPS (T1)MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? (opens in a new tab)
- NeurIPS (T1)MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference (opens in a new tab)
202447 papers
- NeurIPS (T1)A Critical Evaluation of AI Feedback for Aligning Large Language Models (opens in a new tab)
- SIGCSEA Fast and Accurate Machine Learning Autograder for the Breakout Assignment (opens in a new tab)
- CoRL (T1)ALOHA Unleashed: A Simple Recipe for Robot Dexterity (opens in a new tab)
- ICLR (T1)An Emulator for Fine-tuning Large Language Models using Small Language Models (opens in a new tab)
- ICLR (T1)Analyzing and Mitigating Object Hallucination in Large Vision-Language Models (opens in a new tab)
- TPAMI (T1)Bayesian Embeddings for Few-Shot Open World Recognition. (opens in a new tab)
- EMNLP (T1)Calibrating Language Models with Adaptive Temperature Scaling (opens in a new tab)
- UIST (T1)Clarify: Improving Model Robustness With Natural Language Corrections (opens in a new tab)
- Trans. Mach. Learn. Res.Conservative Prediction via Data-Driven Confidence Minimization (opens in a new tab)
- ICLR (T1)Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning (opens in a new tab)
- RLJD5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning (opens in a new tab)
- ICRA (T1)Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation (opens in a new tab)
202334 papers
- ICLR (T1)A Control-Centric Benchmark for Video Prediction (opens in a new tab)
- RSS (T1)Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets (opens in a new tab)
- ICLR (T1)Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts (opens in a new tab)
- CoRL (T1)BridgeData V2: A Dataset for Robot Learning at Scale (opens in a new tab)
- NeurIPS (T1)Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (opens in a new tab)
- L4DCContrastive Example-Based Control (opens in a new tab)
- ICML (T1)DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature (opens in a new tab)
- NeurIPS (T1)Direct Preference Optimization: Your Language Model is Secretly a Reward Model (opens in a new tab)
- NeurIPS (T1)Disentanglement via Latent Quantization (opens in a new tab)
- ICLR (T1)Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement (opens in a new tab)
- EMNLP (T1)Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback (opens in a new tab)
- RSS (T1)Language-Driven Representation Learning for Robotics (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Opens
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- English
- TOEFL/IELTS
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Confirmed on the program page.
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Data
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