← Fangyu Wu

Publications

Papers and preprints, grouped by research area.

Physical and Agentic AI

World models, robot learning, and evaluation of AI agents.

  1. LatentGym: A Testbed for Cross-Task Experiential Learning with Controllable Latent Structure

    D. Mittal, T. Castellani, T. Yen, N. Ye, F. Wu, M. Chen, T. Cai, E. Koukoumidis, W. Zeng, H. Namkoong.

    · Under review Preprint

  2. Agents’ Last Exam

    Y. Sun, X. Han, W. Zhang, Y. Pang, T. Wang, (F. Wu among 300 coauthors), M. Mueller, R. Poovendran, S. Sojoudi, Y. Zhu, D. Song.

    · Under review Preprint

  3. Interactive World Simulator for Robot Policy Training and Evaluation

    Y. Wang, R. Syed, F. Wu, M. Zhang, A. Onol, J. Barreiros, H. Nayyeri, T. Dear, H. Zhang, Y. Li.

    · Robotics: Science and Systems (RSS) Paper Code

Control and Optimization

Efficient planning, stable control, and multi-agent coordination.

  1. Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models

    F. Wu, D. Wang, M. Hwang, C. Hao, J. Lu, J. Zhang, C. Chou, T. Darrell, A. Bayen.

    · IEEE International Conference on Robotics and Automation (ICRA) Paper Code

  2. Composing MPC With LQR and Neural Network for Amortized Efficiency and Stable Control

    F. Wu, G. Wang, S. Zhuang, K. Wang, A. Keimer, I. Stoica, A. Bayen.

    · IEEE Transactions on Automation Science and Engineering (T-ASE) Paper

  3. A Hierarchical MPC Approach to Car-Following via Linearly Constrained Quadratic Programming

    F. Wu, A. M. Bayen.

    · IEEE Control Systems Letters (L-CSS) Paper

  4. Learning Optimal Traffic Routing Behaviors Using Markovian Framework in Microscopic Simulation

    T. Cabannes, J. Li, F. Wu, H. Dong, A. M. Bayen.

    · Transportation Research Board Annual Meeting (TRB) Paper

  5. Benchmarks for Reinforcement Learning in Mixed-Autonomy Traffic

    E. Vinitsky, A. Kreidieh, L. Le Flem, N. Kheterpal, K. Jang, C. Wu, F. Wu, R. Liaw, E. Liang, A. Bayen.

    · Conference on Robot Learning (CoRL) Paper

  6. Connections between Classical Car Following Models and Artificial Neural Networks

    F. Wu, D. B. Work.

    · IEEE International Conference on Intelligent Transportation Systems (ITSC) Paper

Automation and Mechatronics

Vehicle control, hardware integration, sensing, and field experiments.

  1. Human-in-the-Loop Classification of Adaptive Cruise Control at a Freeway Scale

    X. Wang, M. Nice, M. Bunting, F. Wu, M. L. Delle Monache, J. W. Lee, B. Piccoli, B. Seibold, A. M. Bayen, D. B. Work, J. Sprinkle.

    · ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) Paper

  2. Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs

    J. W. Lee, H. Wang, K. Jang, N. Lichtlé, A. Hayat, (F. Wu among 54 coauthors), B. Seibold, J. Sprinkle, B. Piccoli, M. L. Delle Monache, A. M. Bayen.

    · IEEE Control Systems Magazine (CSM) Paper

  3. Modifying Adaptive Cruise Control Systems for String Stable Stop-and-Go Wave Control

    F. Wu, J. Carpio, M. Bunting, M. Nice, D. Work, J. Sprinkle, J. Lee, S. Hornstein, A. Bayen.

    · IEEE Robotics and Automation Letters (RA-L) Paper

  4. From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers

    N. Lichtlé, E. Vinitsky, M. Nice, R. Bhadani, M. Bunting, F. Wu, B. Piccoli, B. Seibold, D. B. Work, J. W. Lee, J. Sprinkle, A. M. Bayen.

    · IEEE Transactions on Robotics (T-RO) Paper

  5. Approaches for Synthesis and Deployment of Controller Models on Automated Vehicles for Car-following in Mixed Autonomy

    R. Bhadani, M. Bunting, M. Nice, F. Wu, A. Hayat, J. W. Lee, A. Bayen, B. Piccoli, B. Seibold, D. Work, J. Sprinkle.

    · Cyber-Physical Systems and Internet of Things Week (CPS-IoT Week) Paper

  6. Quantifying Air Quality Benefits Resulting from Few Autonomous Vehicles Stabilizing Traffic

    R. E. Stern, Y. Chen, M. Churchill, F. Wu, M. L. Delle Monache, B. Piccoli, B. Seibold, J. Sprinkle, D. B. Work.

    · Transportation Research Part D: Transport and Environment (TR-D) Paper

  7. Tracking Vehicle Trajectories and Fuel Rates in Phantom Traffic Jams: Methodology and Data

    F. Wu, R. E. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, B. Piccoli, B. Seibold, J. Sprinkle, D. B. Work.

    · Transportation Research Part C: Emerging Technologies (TR-C) Paper

  8. Dissipation of Stop-and-Go Waves via Control of Autonomous Vehicles: Field Experiments

    R. E. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, H. Pohlmann, F. Wu, B. Piccoli, B. Seibold, J. Sprinkle, D. B. Work.

    · Transportation Research Part C: Emerging Technologies (TR-C) Paper

  9. Measuring Trajectories and Fuel Consumption in Oscillatory Traffic: Experimental Results

    F. Wu, R. Stern, M. Churchill, M. L. Delle Monache, K. Han, B. Piccoli, D. B. Work.

    · Transportation Research Board Annual Meeting (TRB) Paper

Personal Exploration

Interdisciplinary work beyond my main research areas.

  1. eNut: A Sensing System to Measure the Acquisition of Foraging Proficiency in Wild Tree Squirrels

    M. S. Chauhan, A. Chauhan, M. Bayen, F. Wu, F. A. Althukair, M. T. Kaiser, L. F. Jacobs.

    · IEEE Sensors Journal Paper