:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ludlow, Nathan, Lyu, Yiwei, Dolan, John
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2405.06578
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Belief-Space Covariance Steering with Active Probing and Influence for Interactive Driving
by: Chakravarty, Devodita, et al.
Published: (2026)

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving
by: Villaflor, Adam, et al.
Published: (2024)

Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment
by: Zhang, Yanze, et al.
Published: (2024)

Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
by: Tolksdorf, Leon, et al.
Published: (2026)

Gaussian Mixture-Based Inverse Perception Contract for Uncertainty-Aware Robot Navigation
by: Du, Bingyao, et al.
Published: (2026)

Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
by: Tian, Zhen, et al.
Published: (2025)

Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
by: Yang, Yupeng, et al.
Published: (2024)

Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
by: Lei, Mingyue, et al.
Published: (2025)

Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning
by: Kalaria, Dvij, et al.
Published: (2024)

Risk Estimation for Automated Driving
by: Tolksdorf, Leon, et al.
Published: (2026)

Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025)

Feasibility Restoration under Conflicting STL Specifications with Pareto-Optimal Refinement
by: Wu, Tianhao, et al.
Published: (2026)

Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
by: Narcomey, Austin, et al.
Published: (2024)

WROOM: An Autonomous Driving Approach for Off-Road Navigation
by: Kalaria, Dvij, et al.
Published: (2024)

Capability-Aware Heterogeneous Control Barrier Functions for Decentralized Multi-Robot Safe Navigation
by: Kim, Joonkyung, et al.
Published: (2026)

LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
by: Jin, Xuanjin, et al.
Published: (2024)

Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response
by: Distelzweig, Aron, et al.
Published: (2025)

PC-Diffuser: Path-Consistent Capsule CBF Safety Filtering for Diffusion-Based Trajectory Planner
by: Ku, Eugene, et al.
Published: (2026)

Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
by: Zheng, Lei, et al.
Published: (2025)

ARGUS: A Framework for Risk-Aware Path Planning in Tactical UGV Operations
by: Soares, Nuno, et al.
Published: (2025)

A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems
by: Xiong, Zikang, et al.
Published: (2025)

Adaptive Deadlock Avoidance for Decentralized Multi-agent Systems via CBF-inspired Risk Measurement
by: Zhang, Yanze, et al.
Published: (2025)

RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment
by: Xin, Ren, et al.
Published: (2024)

Towards Human Awareness in Robot Task Planning with Large Language Models
by: Liu, Yuchen, et al.
Published: (2024)

Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios
by: Moller, Korbinian, et al.
Published: (2025)

Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
by: Peng, Zengqi, et al.
Published: (2025)

Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors
by: Kim, Amelie Minji, et al.
Published: (2025)

Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
by: Xue, Haoru, et al.
Published: (2023)

Learning Social Heuristics for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2025)

Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning: A Method Based on Learning Human Intention Priors
by: Liu, Jiaqi, et al.
Published: (2023)

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
by: Trauth, Rainer, et al.
Published: (2024)

Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
by: Shao, Wenbo, et al.
Published: (2024)

Hierarchical Reinforcement Learning Based on Planning Operators
by: Zhang, Jing, et al.
Published: (2023)

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)

DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
by: Yan, Limin, et al.
Published: (2026)

Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
by: Liang, Jinhao, et al.
Published: (2024)

AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility
by: Xiao, Wenli, et al.
Published: (2024)

RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
by: Mustafa, Khaled A., et al.
Published: (2024)

Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning
by: Tolksdorf, Leon, et al.
Published: (2023)