Erdem Biyik
Assistant Professor of Computer Science and Electrical and Computer Engineering
Studies robot learning from human feedback, preference-based reward learning and interactive human-robot collaboration in the LiRA lab.
Erdem Biyik's lab at USC works on manipulation & robot learning, human-robot interaction & assistive robots and human-AI collaboration & trust. 41 papers since 2023. 6 PhD students and 11 master's students. 23 alumni, most often to Amazon and Meta. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 0%
- PhD students
- 6
- MS students
- 11
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 17 papers2026 · T1 0 · collecting
- 11 papers2025 · T1 0
- 10 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Manipulation & robot learning31 papers
- Human-robot interaction & assistive robots15 papers
- reward10 papers
- Human-AI collaboration & trust8 papers
- human feedback2 papers
Paper list
From the lab homepage.
202617 papers
- International Journal of Robotics Research (IJRR)Active Reward Learning and Iterative Trajectory Improvement from Comparative Language Feedback
- International Conference on Robotics and Automation (ICRA), JuneAutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations
- Proceedings of the Conference on Robot Learning (CoRL), NovemberBeyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations
- International Conference on Learning Representations (ICLR), AprilCausally Robust Reward Learning from Reason-Augmented Preference Feedback
- International Conference on Intelligent Robots and Systems (IROS), OctoberCLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
- International Conference on Machine Learning (ICML), JulyFix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
- International Conference on Robotics and Automation (ICRA), JuneHAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval
- International Conference on Robotics and Automation (ICRA), JuneIMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
- Proceedings of the World Symposium on Algorithmic Foundations of Robotics (WAFR), JuneJudgelight: Trajectory-Level Post-Optimization for Multi-Agent Path Finding via Closed-Subwalk Collapsing
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JuneORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models
- International Conference on Robotics and Automation (ICRA), JunePEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
- Proceedings of Robotics: Science and Systems (RSS), JulyRobometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
202511 papers
- Conference on Neural Information Processing Systems (NeurIPS), DecemberActor-Free Continuous Control via Structurally Maximizable Q-Functions
- International Conference on Intelligent Robots and Systems (IROS), OctoberGABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
- ACM Transactions on Human-Robot Interaction (THRI)Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
- RSS WorkshopImproving Reward Learning by Estimating Annotator Expertise
- International Conference on Robotics and Automation (ICRA), MayMILE: Model-based Intervention Learning
- Reinforcement Learning Conference (RLC), AugustMitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
- International Conference on Robotics and Automation (ICRA), MayMulti-Agent Inverse Q-Learning from Demonstrations
- Proceedings of Robotics: Science and Systems (RSS), JuneNaVILA: Legged Robot Vision-Language-Action Model for Navigation
- International Conference on Intelligent Robots and Systems (IROS), OctoberRAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
- Proceedings of the Conference on Robot Learning (CoRL), SeptemberReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
- AI MagazineTraining Robots with Natural and Lightweight Human Feedback
202410 papers
- International Conference on Robotics and Automation (ICRA), MayA Generalized Acquisition Function for Preference-based Reward Learning
- Conference on Empirical Methods in Natural Language Processing (EMNLP), NovemberAccurate and Data-Efficient Toxicity Prediction when Annotators Disagree
- International Journal of Robotics Research (IJRR)Active Preference-Based Gaussian Process Regression for Reward Learning and Optimization
- ACM Transactions on Human-Robot Interaction (THRI)Batch Active Learning of Reward Functions from Human Preferences
- International Conference on Machine Learning (ICML), JulyCoprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
- Conference on Neural Information Processing Systems (NeurIPS), DecemberDynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
- Proceedings of the Conference on Robot Learning (CoRL), NovemberEXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
- International Conference on Machine Learning (ICML), JulyRL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
- Proceedings of the Conference on Robot Learning (CoRL), NovemberTrajectory Improvement and Reward Learning from Comparative Language Feedback
- International Conference on Intelligent Robots and Systems (IROS), OctoberViSaRL: Visual Reinforcement Learning Guided by Human Saliency
20233 papers
- International Conference on Robotics and Automation (ICRA), MayActive Reward Learning from Online Preferences
- Transactions on Machine Learning Research (TMLR)Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
- Conference on Neural Information Processing Systems (NeurIPS), DecemberRoboCLIP: One Demonstration is Enough to Learn Robot Policies
Where alumni went23 listed, 24% to industry
Industry 4Academia 13
Most often to
- Amazon
- Meta
- Tangible Robotics
Also to
- USC
- NUS
- Ohio State University
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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