Liting Sun

収録論文 33本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
  2022/11/1
• CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships
  2022/7/1
• Transferable and Adaptable Driving Behavior Prediction
  2022/2/1
• Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
  2021/11/1
• Iterative Imitation Policy Improvement for Interactive Autonomous Driving
  2021/9/1
• Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
  2021/9/1
• Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots
  2021/9/1
• Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning
  2021/8/1
• Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios
  2021/6/1
• On complementing end-to-end human behavior predictors with planning
  2021/3/1
• Diverse Critical Interaction Generation for Planning and Planner Evaluation
  2021/3/1
• Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
  2021/3/1
• Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators
  2021/2/1
• Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks
  2021/2/1
• Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems
  2021/2/1
• Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm
  2021/2/1
• Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
  2021/1/1
• A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
  2021/1/1
• Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
  2020/11/1
• IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
  2020/11/1
• Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
  2020/10/1
• Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
  2020/8/1
• Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
  2020/6/1
• Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration
  2020/1/1
• Multiple criteria decision-making for lane-change model
  2019/10/1
• INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
  2019/10/1
• Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
  2019/7/1
• Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
  2019/7/1
• Behavior Planning of Autonomous Cars with Social Perception
  2019/5/1
• Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction
  2019/3/1
• Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
  2018/9/1
• Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
  2018/9/1
• Courteous Autonomous Cars
  2018/8/1