David Isele - RankMe

93 papers A* 16A 6B 1C 4Journal 56Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning. CoRR Ananya Trivedi, Anjian Li, Mohamed Elnoor, Yusuf Umut Ciftci, Avinash Singh, Jovin D'sa, Sangjae Bae, David Isele, Taskin Padir, Faizan M. Tariq
2026	J	`jnl`	Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example. IEEE Robotics Autom. Lett. Felix Jahncke, Baha Zarrouki, Mattia Piccinini, Jovin D'sa, David Isele, Sangjae Bae, Johannes Betz
2026	J	`jnl`	Frenet Enveloping Planner: An Efficient Local Path Planning Framework for Autonomous Driving. IEEE Trans. Intell. Veh. Faizan M. Tariq, Zheng-Hang Yeh, Avinash T. Singh, David Isele, Sangjae Bae
2026	J	`jnl`	KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning. CoRR Chak Lam Shek, Faizan M. Tariq, Sangjae Bae, David Isele, Piyush Gupta
2026	A*	`conf`	Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving. AAAI Longchao Da, David Isele, Hua Wei, Manish Saroya
2026	J	`jnl`	ONRAP: Occupancy-driven Noise-Resilient Autonomous Path Planning. CoRR Faizan M. Tariq, Avinash T. Singh, Vipul Ramtekkar, Jovin D'sa, David Isele, Yosuke Sakamoto, Sangjae Bae
2026	J	`jnl`	Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams. CoRR Piyush Gupta, Sangjae Bae, Jiachen Li, David Isele
2026	J	`jnl`	Selecting Spots by Explicitly Predicting Intention from Motion History Improves Performance in Autonomous Parking. CoRR Long Kiu Chung, David Isele, Faizan M. Tariq, Sangjae Bae, Shreyas Kousik, Jovin D'sa
2025	A	`conf`	Active Probing with Multimodal Predictions for Motion Planning. IROS Darshan Gadginmath, Farhad Nawaz, Minjun Sung, Faizan M. Tariq, Sangjae Bae, David Isele, Fabio Pasqualetti, Jovin D'sa
2025	J	`jnl`	Active Probing with Multimodal Predictions for Motion Planning. CoRR Darshan Gadginmath, Farhad Nawaz, Minjun Sung, Faizan M. Tariq, Sangjae Bae, David Isele, Fabio Pasqualetti, Jovin D'sa
2025	J	`jnl`	Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. IEEE Robotics Autom. Lett. Jinning Li, Jiachen Li, Sangjae Bae, David Isele
2025	A*	`conf`	Delayed-Decision Motion Planning in the Presence of Multiple Predictions. ICRA David Isele, Alexandre Miranda Añon, Faizan M. Tariq, Goro Yeh, Avinash T. Singh, Sangjae Bae
2025	J	`jnl`	Delayed-Decision Motion Planning in the Presence of Multiple Predictions. CoRR David Isele, Alexandre Miranda Añon, Faizan M. Tariq, Goro Yeh, Avinash Singh, Sangjae Bae
2025	J	`jnl`	End-to-End Predictive Planner for Autonomous Driving with Consistency Models. CoRR Anjian Li, Sangjae Bae, David Isele, Ryne Beeson, Faizan M. Tariq
2025	J	`jnl`	Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving. CoRR Faizan M. Tariq, Zheng-Hang Yeh, Avinash Singh, David Isele, Sangjae Bae
2025	A*	`conf`	Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-Constructed Hierarchical Trees. ICRA Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae
2025	J	`jnl`	Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees. CoRR Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae
2025	J	`jnl`	Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations. CoRR Piyush Gupta, Sangjae Bae, David Isele
2025	J	`jnl`	Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking. CoRR Farhad Nawaz, Minjun Sung, Darshan Gadginmath, Jovin D'sa, Sangjae Bae, David Isele, Nadia Figueroa, Nikolai Matni, Faizan M. Tariq
2025	—	`conf`	IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving. ITSC Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D'sa, Faizan M. Tariq, David Isele, Sangjae Bae
2025	J	`jnl`	IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving. CoRR Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D'sa, Faizan M. Tariq, David Isele, Sangjae Bae
2025	J	`jnl`	Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. IEEE Robotics Autom. Lett. Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2025	J	`jnl`	Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving. CoRR Longchao Da, David Isele, Hua Wei, Manish Saroya
2025	J	`jnl`	Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments. CoRR Farhad Nawaz, Faizan M. Tariq, Sangjae Bae, David Isele, Avinash Singh, Nadia Figueroa, Nikolai Matni, Jovin D'sa
2025	—	`conf`	Predictive Planner for Autonomous Driving with Consistency Models. ITSC Anjian Li, Sangjae Bae, David Isele, Ryne Beeson, Faizan M. Tariq
2024	J	`jnl`	Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. Int. J. Robotics Res. Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac
2024	J	`jnl`	Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR Jinning Li, Jiachen Li, Sangjae Bae, David Isele
2024	—	`conf`	Don't Get Stuck: A Deadlock Recovery Approach. ITSC Francesca Baldini, Faizan M. Tariq, Sangjae Bae, David Isele
2024	J	`jnl`	Don't Get Stuck: A Deadlock Recovery Approach. CoRR Francesca Baldini, Faizan M. Tariq, Sangjae Bae, David Isele
2024	C	`conf`	Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. IV Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
2024	J	`jnl`	Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. CoRR Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
2024	—	`conf`	Gaussian Lane Keeping: A Robust Prediction Baseline. ITSC David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae
2024	J	`jnl`	Gaussian Lane Keeping: A Robust Prediction Baseline. CoRR David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae
2024	J	`jnl`	Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2024	J	`jnl`	Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2024	J	`jnl`	Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks. CoRR Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
2024	A*	`conf`	Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. ICRA Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele
2024	J	`jnl`	Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. CoRR Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele
2024	C	`conf`	Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. IV Piyush Gupta, David Isele, Sangjae Bae
2024	J	`jnl`	Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. CoRR Piyush Gupta, David Isele, Sangjae Bae
2023	J	`jnl`	Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach. CoRR Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac
2023	J	`jnl`	Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. CoRR Siyu Dai, Sangjae Bae, David Isele
2023	A*	`conf`	Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. ICRA Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae
2023	J	`jnl`	Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. CoRR Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae
2023	J	`jnl`	Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. IEEE Trans. Control. Syst. Technol. Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
2023	J	`jnl`	Predicting Parameters for Modeling Traffic Participants. CoRR Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
2023	—	`conf`	RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. ITSC Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
2023	J	`jnl`	RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. CoRR Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
2023	—	`conf`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	SLAS: Speed and Lane Advisory System for Highway Navigation. CoRR Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
2022	—	`conf`	Predicting Parameters for Modeling Traffic Participants. ITSC Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
2022	A*	`conf`	Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022	J	`jnl`	Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. CoRR Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022	A	`conf`	Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
2022	—	`conf`	SLAS: Speed and Lane Advisory System for Highway Navigation. CDC Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
2022	J	`jnl`	Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
2022	J	`jnl`	Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. CoRR Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
2021	A*	`conf`	Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. ICRA Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele
2021	J	`jnl`	Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. CoRR Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele
2021	A*	`conf`	Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. ICRA Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2021	C	`conf`	Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
2021	J	`jnl`	Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
2020	A	`conf`	A Comprehensive Trajectory Planner for a Person-Following ATV. IROS Huckleberry Febbo, Jiawei Huang, David Isele
2020	C	`conf`	Accurate Trajectory Following for Automated Vehicles in Dynamic Environments. ACC Huckleberry Febbo, David Isele
2020	A*	`conf`	CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha
2020	J	`jnl`	Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2020	—	`conf`	Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
2020	J	`jnl`	Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
2020	J	`jnl`	Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. Mohammad Rostami, David Isele, Eric Eaton
2019	A*	`conf`	Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. ICRA Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
2019	J	`jnl`	Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. CoRR Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
2019	—	`conf`	Interactive Decision Making for Autonomous Vehicles in Dense Traffic. ITSC David Isele
2019	J	`jnl`	Interactive Decision Making for Autonomous Vehicles in Dense Traffic. CoRR David Isele
2019	J	`jnl`	Safe Reinforcement Learning on Autonomous Vehicles. CoRR David Isele, Alireza Nakhaei, Kikuo Fujimura
2019	A*	`conf`	Uncertainty-Aware Data Aggregation for Deep Imitation Learning. ICRA Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura
2019	J	`jnl`	Uncertainty-Aware Data Aggregation for Deep Imitation Learning. CoRR Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura
2018	J	`jnl`	CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. CoRR Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura
2018	A*	`conf`	Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI Rey Pocius, David Isele, Mark Roberts, David W. Aha
2018	A	`conf`	Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS David Isele, Eric Eaton, Mark Roberts, David W. Aha
2018	A*	`conf`	Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. ICRA David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
2018	A	`conf`	Safe Reinforcement Learning on Autonomous Vehicles. IROS David Isele, Alireza Nakhaei, Kikuo Fujimura
2018	A*	`conf`	Selective Experience Replay for Lifelong Learning. AAAI David Isele, Akansel Cosgun
2018	J	`jnl`	Selective Experience Replay for Lifelong Learning. CoRR David Isele, Akansel Cosgun
2017	J	`jnl`	Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections. CoRR David Isele, Akansel Cosgun, Kikuo Fujimura
2017	J	`jnl`	Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. CoRR David Isele, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
2017	A*	`conf`	Representations for Continuous Learning. AAAI David Isele
2017	J	`jnl`	Transferring Autonomous Driving Knowledge on Simulated and Real Intersections. CoRR David Isele, Akansel Cosgun
2017	J	`jnl`	Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR David Isele, Mohammad Rostami, Eric Eaton
2017	B	`conf`	Vertex reconstruction of neutrino interactions using deep learning. IJCNN Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young
2016	A	`conf`	Lifelong learning for disturbance rejection on mobile robots. IROS David Isele, José-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor
2016	A*	`conf`	Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI David Isele, Mohammad Rostami, Eric Eaton