Shengbo Eben Li

収録論文 43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

• Factor-Aware Mixture-of-Experts with Pretrained Encoder for Combinatorial Generalization
  2026/6/1
• World Engine: Towards the Era of Post-Training for Autonomous Driving
  2026/6/1
• M3imic: Learning a Versatile Whole-Body Controller for Multimodal Motion Mimicking
  2026/6/1
• Natural Gradient Bayesian Filtering: Geometry-Aware Filter for Dynamical Systems
  2026/5/1
• FUSE: A Framework for Unified State Estimation in Vehicular and Robotic SLAM Systems
  2026/5/1
• Natural Gradient Gaussian Approximation Filter on Lie Groups for Robot State Estimation
  2026/4/1
• Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving
  2026/3/1
• Bootstrap Off-policy with World Model
  2025/11/1
• Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion
  2025/7/1
• Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
  2025/5/1
• NANO-SLAM : Natural Gradient Gaussian Approximation for Vehicle SLAM
  2025/4/1
• Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
  2025/3/1
• Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
  2025/2/1
• Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
  2025/1/1
• Robust State Estimation for Legged Robots with Dual Beta Kalman Filter
  2024/11/1
• RINO: Accurate, Robust Radar-Inertial Odometry with Non-Iterative Estimation
  2024/11/1
• Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search
  2024/8/1
• Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
  2024/7/1
• A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
  2024/2/1
• Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
  2024/2/1
• Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
  2024/1/1
• BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
  2023/12/1
• Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning
  2023/12/1
• LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
  2023/10/1
• Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
  2022/10/1
• Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification
  2022/10/1
• Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization
  2022/9/1
• Reachability Constrained Reinforcement Learning
  2022/5/1
• Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning
  2022/4/1
• Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
  2021/11/1
• Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
  2021/10/1
• Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
  2021/9/1
• Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
  2021/8/1
• Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
  2021/5/1
• Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm
  2021/3/1
• Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence
  2021/3/1
• Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
  2021/3/1
• Steadily Learn to Drive with Virtual Memory
  2021/2/1
• Mixed Reinforcement Learning with Additive Stochastic Uncertainty
  2020/3/1
• Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
  2020/1/1
• Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
  2019/12/1
• Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
  2019/6/1
• Indirect Shared Control of Highly Automated Vehicles for Cooperative Driving between Driver and Automation
  2017/4/1