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11/17/2022
Outracing Human Racers with Model-based Autonomous Racing
Autonomous racing has become a popular sub-topic of autonomous driving i...
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07/07/2022
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships
As machine learning models become increasingly prevalent in motion forec...
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02/10/2022
Transferable and Adaptable Driving Behavior Prediction
While autonomous vehicles still struggle to solve challenging situations...
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11/01/2021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
When autonomous vehicles still struggle to solve challenging situations ...
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09/29/2021
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
An outstanding challenge with safety methods for human-robot interaction...
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09/26/2021
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots
A human-centered robot needs to reason about the cognitive limitation an...
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09/03/2021
Iterative Imitation Policy Improvement for Interactive Autonomous Driving
We propose an imitation learning system for autonomous driving in urban ...
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08/14/2021
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
Microscopic epidemic models are powerful tools for government policy mak...
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08/14/2021
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning
Motion planning under uncertainty is of significant importance for safet...
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06/04/2021
Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios
Safety assurance is a critical yet challenging aspect when developing se...
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03/09/2021
On complementing end-to-end human motion predictors with planning
High capacity end-to-end approaches for human motion prediction have the...
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03/07/2021
Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
Reward function, as an incentive representation that recognizes humans' ...
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03/01/2021
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Generating diverse and comprehensive interacting agents to evaluate the ...
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02/13/2021
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks
Many manipulation tasks require robots to interact with unknown environm...
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02/06/2021
Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems
In this paper, a practical fractional-order variable-gain super-twisting...
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02/06/2021
Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators
The precise motion control of a multi-degree of freedom (DOF) robot mani...
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01/31/2021
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm
To obtain precise motion control of wafer stages, an adaptive neural net...
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01/17/2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
Autonomous vehicles need to handle various traffic conditions and make s...
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01/15/2021
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
Autonomous vehicles (AVs) need to interact with other traffic participan...
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11/24/2020
Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
Safety is an important topic in autonomous driving since any collision m...
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11/04/2020
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
Autonomous vehicles (AVs) need to share the road with multiple, heteroge...
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10/28/2020
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
As more and more autonomous vehicles (AVs) are being deployed on public ...
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09/03/2020
Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem
Classical game-theoretic approaches for multi-agent systems in both the ...
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08/20/2020
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
In human-robot interaction (HRI) systems, such as autonomous vehicles, u...
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06/22/2020
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
In the past decades, we have witnessed significant progress in the domai...
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01/27/2020
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration
Human motion prediction is non-trivial in modern industrial settings. Ac...
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10/22/2019
Multiple criteria decision-making for lane-change model
Simulation has long been an essential part of testing autonomous driving...
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09/30/2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Behavior-related research areas such as motion prediction/planning, repr...
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07/23/2019
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
Accurately predicting future behaviors of surrounding vehicles is an ess...
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07/19/2019
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Understanding human driving behavior is important for autonomous vehicle...
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05/02/2019
Behavior Planning of Autonomous Cars with Social Perception
Autonomous cars have to navigate in dynamic environment which can be ful...
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03/06/2019
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction
Human robot collaboration (HRC) is becoming increasingly important as th...
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09/10/2018
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Autonomous vehicles should be able to generate accurate probabilistic pr...
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09/09/2018
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
Autonomous vehicles (AVs) are on the road. To safely and efficiently int...
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08/08/2018
Courteous Autonomous Cars
Typically, autonomous cars optimize for a combination of safety, efficie...
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07/09/2017