Recursive conflict resolution for cooperative motion planning in dynamic highway traffic. - Wilko Schwarting; Patrick Pascheka (ITSC, 2014)

Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. - Wilko Schwarting; Javier Alonso-Mora; Liam Paull; Sertac Karaman; Daniela Rus (ICRA, 2017)

Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. - Lucas Liebenwein; Wilko Schwarting; Cristian Ioan Vasile; Jonathan A. DeCastro; Javier Alonso-Mora; Sertac Karaman; Daniela Rus (ISRR, 2017)

Trajectory optimization for autonomous overtaking with visibility maximization. - Hans Andersen; Wilko Schwarting; Felix Naser; You Hong Eng; Marcelo H. Ang; Daniela Rus; Javier Alonso-Mora (ITSC, 2017)

A parallel autonomy research platform. - Felix Naser; David L. Dorhout; Stephen Proulx; Scott Drew Pendleton; Hans Andersen; Wilko Schwarting; Liam Paull; Javier Alonso-Mora; Marcelo H. Ang; Sertac Karaman; Russ Tedrake; John J. Leonard; et al. (Intelligent Vehicles Symposium, 2017)

Detection of AQM on Paths using Machine Learning Methods. - Cenk Baykal; Wilko Schwarting; Alex Wallar (CoRR, 2017)

Training Support Vector Machines using Coresets. - Cenk Baykal; Lucas Liebenwein; Wilko Schwarting (CoRR, 2017)

Navigating Congested Environments with Risk Level Sets. - Alyssa Pierson; Wilko Schwarting; Sertac Karaman; Daniela Rus (ICRA, 2018)

Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for Automated Urban Driving. - Bingyu Zhou; Wilko Schwarting; Daniela Rus; Javier Alonso-Mora (ICRA, 2018)

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. - Alexander Amini; Wilko Schwarting; Guy Rosman; Brandon Araki; Sertac Karaman; Daniela Rus (IROS, 2018)

Planning and Decision-Making for Autonomous Vehicles. - Wilko Schwarting; Javier Alonso-Mora; Daniela Rus (Annu. Rev. Control. Robotics Auton. Syst., 2018)

Learning Object Grasping for Soft Robot Hands. - Changhyun Choi; Wilko Schwarting; Joseph DelPreto; Daniela Rus (IEEE Robotics Autom. Lett., 2018)

Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. - Wilko Schwarting; Javier Alonso-Mora; Liam Paull; Sertac Karaman; Daniela Rus (IEEE Trans. Intell. Transp. Syst., 2018)

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. - Alexander Amini; Ava P. Soleimany; Wilko Schwarting; Sangeeta N. Bhatia; Daniela Rus (AIES, 2019)

Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection. - Alyssa Pierson; Cristian Ioan Vasile; Anshula Gandhi; Wilko Schwarting; Sertac Karaman; Daniela Rus (ICRA, 2019)

Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation. - Noam Buckman; Alyssa Pierson; Wilko Schwarting; Sertac Karaman; Daniela Rus (IROS, 2019)

Range-based Cooperative Localization with Nonlinear Observability Analysis. - Brandon Araki; Igor Gilitschenski; Tatum Ogata; Alex Wallar; Wilko Schwarting; Zareen Choudhury; Sertac Karaman; Daniela Rus (ITSC, 2019)

Optimizing Multi-class Fleet Compositions for Shared Mobility-as-a-Service. - Alex Wallar; Wilko Schwarting; Javier Alonso-Mora; Daniela Rus (ITSC, 2019)

Learning Risk Level Set Parameters from Data Sets for Safer Driving. - Alyssa Pierson; Wilko Schwarting; Sertac Karaman; Daniela Rus (IV, 2019)

Social behavior for autonomous vehicles. - Wilko Schwarting; Alyssa Pierson; Javier Alonso-Mora; Sertac Karaman; Daniela Rus (Proc. Natl. Acad. Sci. USA, 2019)

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. - Wilko Schwarting; Tim Seyde; Igor Gilitschenski; Lucas Liebenwein; Ryan Sander; Sertac Karaman; Daniela Rus (CoRL, 2020)

Deep Orientation Uncertainty Learning based on a Bingham Loss. - Igor Gilitschenski; Roshni Sahoo; Wilko Schwarting; Alexander Amini; Sertac Karaman; Daniela Rus (ICLR, 2020)

Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior. - Alyssa Pierson; Wilko Schwarting; Sertac Karaman; Daniela Rus (ICRA, 2020)

Safe Path Planning with Multi-Model Risk Level Sets. - Zefan Huang; Wilko Schwarting; Alyssa Pierson; Hongliang Guo; Marcelo H. Ang; Daniela Rus (IROS, 2020)

Learning to Plan via Deep Optimistic Value Exploration. - Tim Seyde; Wilko Schwarting; Sertac Karaman; Daniela Rus (L4DC, 2020)

Deep Evidential Regression. - Alexander Amini; Wilko Schwarting; Ava Soleimany; Daniela Rus (NeurIPS, 2020)

Strength Through Diversity: Robust Behavior Learning via Mixture Policies. - Tim Seyde; Wilko Schwarting; Igor Gilitschenski; Markus Wulfmeier; Daniela Rus (CoRL, 2021)

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. - Tim Seyde; Wilko Schwarting; Sertac Karaman; Daniela Rus (CoRL, 2021)

Semi-Cooperative Control for Autonomous Emergency Vehicles. - Noam Buckman; Wilko Schwarting; Sertac Karaman; Daniela Rus (IROS, 2021)

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. - Tim Seyde; Igor Gilitschenski; Wilko Schwarting; Bartolomeo Stellato; Martin A. Riedmiller; Markus Wulfmeier; Daniela Rus (NeurIPS, 2021)

Stochastic Dynamic Games in Belief Space. - Wilko Schwarting; Alyssa Pierson; Sertac Karaman; Daniela Rus (IEEE Trans. Robotics, 2021)

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. - Alexander Amini; Tsun-Hsuan Wang; Igor Gilitschenski; Wilko Schwarting; Zhijian Liu; Song Han 003; Sertac Karaman; Daniela Rus (ICRA, 2022)

Learning Interactive Driving Policies via Data-driven Simulation. - Tsun-Hsuan Wang; Alexander Amini; Wilko Schwarting; Igor Gilitschenski; Sertac Karaman; Daniela Rus (ICRA, 2022)

Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. - Jose Luis Vazquez Espinoza; Alexander Liniger; Wilko Schwarting; Daniela Rus; Luc Van Gool (L4DC, 2022)

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. - Ryan Sander; Wilko Schwarting; Tim Seyde; Igor Gilitschenski; Sertac Karaman; Daniela Rus (L4DC, 2022)

Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. - José L. Vázquez; Alexander Liniger; Wilko Schwarting; Daniela Rus; Luc Van Gool (CoRR, 2022)

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. - Peter Werner; Tim Seyde; Paul Drews; Thomas Matrai Balch; Igor Gilitschenski; Wilko Schwarting; Guy Rosman; Sertac Karaman; Daniela Rus (CoRL, 2023)

Solving Continuous Control via Q-learning. - Tim Seyde; Peter Werner; Wilko Schwarting; Igor Gilitschenski; Martin A. Riedmiller; Daniela Rus; Markus Wulfmeier (ICLR, 2023)

Growing Q-networks: Solving continuous control tasks with adaptive control resolution. - Tim Seyde; Peter Werner; Wilko Schwarting; Markus Wulfmeier; Daniela Rus (L4DC, 2024)

Do no harm: A counterfactual approach to safe reinforcement learning. - Sean Vaskov; Wilko Schwarting; Chris L. Baker (L4DC, 2024)

OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision. - Rahul Ahuja; Chris L. Baker; Wilko Schwarting (WACV, 2024)