Yuke Zhu
Associate Professor
Develops robot learning methods for manipulation and interactive perception that close the perception-action loop.
Yuke Zhu's lab at UT Austin works on manipulation & robot learning and robot perception & SLAM. 91 papers since 2023, 1 at top venues, mostly Autonomous Robots and Science Robotics. 7 PhD students. 10 alumni. Applications close .
At a glance
- papers, 2023–2026
- 24/ year
- at T1 venues
- 1%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 10
Papers by yearfrom the lab homepage, 2023–2026
- 32 papers2026 · T1 1 · collecting
- 21 papers2025 · T1 0
- 23 papers2024 · T1 0
- 15 papers2023 · T1 0
T1 venuesOtherVenues: Autonomous Robots, Science Robotics
Research focuspaper titles that use each topic's words
- Manipulation & robot learning60 papers
- manipulation27 papers
- Robot perception & SLAM21 papers
- robot learning7 papers
- develops robot0 papers
Paper list
From the lab homepage.
202632 papers
- International Conference on Machine Learning (ICML), JulyA Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS , JulyBeyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
- International Conference on Machine Learning (ICML), JulyCaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
- Conference on Robot Learning (CoRL), NovemberCHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation
- International Conference on Learning Representations (ICLR), AprilDEAS: DEtached value learning with Action Sequence for Scalable Offline RL
- International Conference on Machine Learning (ICML), JulyDreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- Conference on Robot Learning (CoRL), NovemberDreamZero: World Action Models are Zero-shot Policies
- Conference on Robot Learning (CoRL), NovemberEgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
- Conference on Robot Learning (CoRL), NovemberENPIRE: Agentic Robot Policy Self-Improvement in the Real World
- IEEE Robotics and Automation Letters (RA-L), MarchFORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation
- Conference on Robot Learning (CoRL), NovemberGaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
- Conference on Robot Learning (CoRL), NovemberGRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
202521 papers
- Robotics: Science and Systems (RSS), JuneASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
- IEEE International Conference on Robotics and Automation (ICRA), MayBUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation
- Conference on Robot Learning (CoRL), SeptemberCasper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
- Conference on Robot Learning (CoRL), SeptemberConstraint-Preserving Data Generation for Visuomotor Policy Learning
- IEEE International Conference on Robotics and Automation (ICRA), MayDexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
- Conference on Robot Learning (CoRL), SeptemberDreamGen: Unlocking Generalization in Robot Learning through Video World Models
- Conference on Robot Learning (CoRL), SeptemberFLARE: Robot Learning with Implicit World Modeling
- Conference on Robot Learning (CoRL), SeptemberGraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation
- IEEE International Conference on Robotics and Automation (ICRA), MayHOVER: Versatile Neural Whole-Body Controller for Humanoid Robots
- Reinforcement Learning Conference (RLC), AugustHuman-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
- IEEE Robotics and Automation Letters (RA-L), MarchLEGATO: Cross-Embodiment Imitation Using a Grasping Tool
- International Journal of Robotics Research (IJRR), OctoberLLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models
202423 papers
- Conference on Neural Information Processing Systems (NeurIPS), DecemberAMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
- International Conference on Learning Representations (ICLR), MayAMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
- International Conference on Intelligent Robots and Systems (IROS), OctoberARDuP: Active Region Video Diffusion for Universal Policies
- AAAI Conference on Artificial Intelligence (AAAI), FebruaryBuilding Minimal and Reusable Causal State Abstractions for Reinforcement Learning
- IEEE International Conference on Robotics and Automation (ICRA), MayDoduo: Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
- Robotics: Science and Systems (RSS), JulyDrEureka: Language Model Guided Sim-To-Real Transfer
- Robotics: Science and Systems (RSS), JulyDROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- International Conference on Learning Representations (ICLR), MayEureka: Human-Level Reward Design via Coding Large Language Models
- International Conference on 3D Vision (3DV), MarchFew-View Object Reconstruction with Unknown Categories and Camera Poses
- International Journal of Robotics Research (IJRR), SeptemberFoundation Models in Robotics: Applications, Challenges, and the Future
- Transactions on Machine Learning Research (TMLR), MarchGranger Causal Interaction Skill Chains
- Conference on Robot Learning (CoRL), NovemberHarmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions
202315 papers
- International Journal of Robotics Research (IJRR), JulyACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
- Conference on Neural Information Processing Systems (NeurIPS), DecemberCross-Episodic Curriculum for Transformer Agents
- International Conference on Humanoid Robots (Humanoids), DecemberDeep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation
- IEEE International Conference on Robotics and Automation (ICRA), MayDitto in the House: Building Articulated Models of Indoor Scenes through Interactive Perception
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), JuneFast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
- CoRL WorkshopInteractive Robot Learning from Verbal Correction
- Conference on Robot Learning (CoRL), NovemberLearning Generalizable Manipulation Policies with Object-Centric 3D Representations
- IEEE International Conference on Robotics and Automation (ICRA), MayLearning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
- NeurIPS Datasets and Benchmarks Track, DecemberLIBERO: Benchmarking Knowledge Transfer in Lifelong Robot Learning
- Conference on Robot Learning (CoRL), NovemberMimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
- Conference on Robot Learning (CoRL), NovemberMimicPlay: Long-Horizon Imitation Learning by Watching Human Play
- Conference on Robot Learning (CoRL), NovemberMUTEX: Learning Unified Policies from Multimodal Task Specifications
Where alumni went10 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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Data
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