Stochastic day ahead load scheduling for aggregated distributed energy resources. - Bertrand Travacca; Sangjae Bae; Jiacheng Wu; Scott J. Moura (CCTA, 2017)

System Analysis and Optimization of Human-Actuated Dynamical Systems. - Sangjae Bae; Sang Min Han; Scott J. Moura (ACC, 2018)

Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. - Sangjae Bae; Yeojun Kim; Jacopo Guanetti; Francesco Borrelli; Scott J. Moura (ACC, 2019)

Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. - Sangjae Bae; Yongkeun Choi; Yeojun Kim; Jacopo Guanetti; Francesco Borrelli; Scott J. Moura (CDC, 2019)

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. - Sangjae Bae; Dhruv Saxena; Alireza Nakhaei; Chiho Choi; Kikuo Fujimura; Scott J. Moura (ACC, 2020)

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. - Sangjae Bae; Teng Zeng; Bertrand Travacca; Scott J. Moura (ACC, 2020)

Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. - Andrea Pozzi; Sangjae Bae; Yongkeun Choi; Francesco Borrelli; Davide Martino Raimondo; Scott J. Moura (CDC, 2020)

Driving in Dense Traffic with Model-Free Reinforcement Learning. - Dhruv Mauria Saxena; Sangjae Bae; Alireza Nakhaei; Kikuo Fujimura; Maxim Likhachev (ICRA, 2020)

Optimal Dispatch of Electrified Autonomous Mobility on Demand Vehicles during Power Outages. - Colin Sheppard; Laurel N. Dunn; Sangjae Bae; Max Gardner (CoRR, 2020)

Risk-Aware Lane Selection on Highway with Dynamic Obstacles. - Sangjae Bae; David Isele; Kikuo Fujimura; Scott J. Moura (IV, 2021)

Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station. - Teng Zeng; Sangjae Bae; Bertrand Travacca; Scott J. Moura (IEEE Trans. Smart Grid, 2021)

SLAS: Speed and Lane Advisory System for Highway Navigation. - Faizan M. Tariq; David Isele; John S. Baras; Sangjae Bae (CDC, 2022)

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IROS, 2022)

Predicting Parameters for Modeling Traffic Participants. - Ahmadreza Moradipari; Sangjae Bae; Mahnoosh Alizadeh; Ehsan Moradi-Pari; David Isele (ITSC, 2022)

Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IEEE Robotics Autom. Lett., 2022)

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. - Piyush Gupta; David Isele; Donggun Lee; Sangjae Bae (ICRA, 2023)

RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. - Faizan M. Tariq; David Isele; John S. Baras; Sangjae Bae (ITSC, 2023)

Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. - Siyu Dai; Sangjae Bae; David Isele (CoRR, 2023)

Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. - Sangjae Bae; David Isele; Alireza Nakhaei; Peng Xu; Alexandre Miranda Añon; Chiho Choi; Kikuo Fujimura; Scott J. Moura (IEEE Trans. Control. Syst. Technol., 2023)

Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. - Alexandre Miranda Añon; Sangjae Bae; Manish Saroya; David Isele (ICRA, 2024)

Don't Get Stuck: A Deadlock Recovery Approach. - Francesca Baldini; Faizan M. Tariq; Sangjae Bae; David Isele (ITSC, 2024)

Gaussian Lane Keeping: A Robust Prediction Baseline. - David Isele; Piyush Gupta; Xinyi Liu; Sangjae Bae (ITSC, 2024)

ATLS: Automated Trailer Loading for Surface Vessels. - Amer Abughaida; Meet Gandhi; Jun Heo; Vaishnav Tadiparthi; Yosuke Sakamoto; Joohyun Woo; Sangjae Bae (IV, 2024)

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. - Piyush Gupta; David Isele; Sangjae Bae (IV, 2024)

Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios. - Kyoungtae Ji; Sangjae Bae; Nan Li 015; Kyoungseok Han (IV, 2024)

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. - Lin Song 001; David Isele; Naira Hovakimyan; Sangjae Bae (IV, 2024)

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients. - Gabriel Chenevert; Jingqi Li 001; Achyuta kannan; Sangjae Bae; Donggun Lee (CoRR, 2024)

Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. - Haimin Hu; David Isele; Sangjae Bae; Jaime F. Fisac (Int. J. Robotics Res., 2024)

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks. - Haoqiang Kang; Enna Sachdeva; Piyush Gupta; Sangjae Bae; Kwonjoon Lee (CVPR, 2025)

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees. - Piyush Gupta; David Isele; Enna Sachdeva; Pin-Hao Huang; Behzad Dariush; Kwonjoon Lee; Sangjae Bae (CoRR, 2025)

End-to-End Predictive Planner for Autonomous Driving with Consistency Models. - Anjian Li; Sangjae Bae; David Isele; Ryne Beeson; Faizan M. Tariq (CoRR, 2025)

Delayed-Decision Motion Planning in the Presence of Multiple Predictions. - David Isele; Alexandre Miranda Añon; Faizan M. Tariq; Goro Yeh; Avinash Singh; Sangjae Bae (CoRR, 2025)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. - Jinning Li 002; Jiachen Li 001; Sangjae Bae; David Isele (IEEE Robotics Autom. Lett., 2025)

Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations. - Piyush Gupta; Sangjae Bae; David Isele (CoRR, 2025)

Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking. - Farhad Nawaz; Minjun Sung; Darshan Gadginmath; Jovin D'sa; Sangjae Bae; David Isele; Nadia Figueroa; Nikolai Matni; Faizan M. Tariq (CoRR, 2025)

Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving. - Faizan M. Tariq; Zheng-Hang Yeh; Avinash Singh; David Isele; Sangjae Bae (CoRR, 2025)

Active Probing with Multimodal Predictions for Motion Planning. - Darshan Gadginmath; Farhad Nawaz; Minjun Sung; Faizan M. Tariq; Sangjae Bae; David Isele; Fabio Pasqualetti; Jovin D'sa (CoRR, 2025)

IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving. - Kanghyun Ryu; Minjun Sung; Piyush Gupta; Jovin D'sa; Faizan M. Tariq; David Isele; Sangjae Bae (CoRR, 2025)