RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
Fuente:
arXiv
Saved in:
| Main Authors: | Patrikar, Jay, Veer, Sushant, Sharma, Apoorva, Pavone, Marco, Scherer, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
by: Patrikar, Jay, et al.
Published: (2025)
by: Patrikar, Jay, et al.
Published: (2025)
Online Aggregation of Trajectory Predictors
by: Tong, Alex, et al.
Published: (2025)
by: Tong, Alex, et al.
Published: (2025)
World2Rules: A Neuro-Symbolic Framework for Learning World-Governing Safety Rules for Aviation
by: Wang, Haichuan, et al.
Published: (2026)
by: Wang, Haichuan, et al.
Published: (2026)
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
by: Aloor, Jasmine Jerry, et al.
Published: (2022)
by: Aloor, Jasmine Jerry, et al.
Published: (2022)
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
by: Diehl, Christopher, et al.
Published: (2024)
by: Diehl, Christopher, et al.
Published: (2024)
Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
by: Chakraborty, Kaustav, et al.
Published: (2025)
by: Chakraborty, Kaustav, et al.
Published: (2025)
System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles
by: Chakraborty, Kaustav, et al.
Published: (2024)
by: Chakraborty, Kaustav, et al.
Published: (2024)
Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
by: Luo, Rachel, et al.
Published: (2025)
by: Luo, Rachel, et al.
Published: (2025)
AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models
by: Martin, Rebecca, et al.
Published: (2025)
by: Martin, Rebecca, et al.
Published: (2025)
StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
by: Seo, Junwon, et al.
Published: (2026)
by: Seo, Junwon, et al.
Published: (2026)
Surprise Potential as a Measure of Interactivity in Driving Scenarios
by: Ding, Wenhao, et al.
Published: (2025)
by: Ding, Wenhao, et al.
Published: (2025)
RealDrive: Retrieval-Augmented Driving with Diffusion Models
by: Ding, Wenhao, et al.
Published: (2025)
by: Ding, Wenhao, et al.
Published: (2025)
HT-LIP Model based Robust Control of Quadrupedal Robot Locomotion under Unknown Vertical Ground Motion
by: Iqbal, Amir, et al.
Published: (2024)
by: Iqbal, Amir, et al.
Published: (2024)
A Rule-Based Behaviour Planner for Autonomous Driving
by: Frederic, Bouchard, et al.
Published: (2024)
by: Frederic, Bouchard, et al.
Published: (2024)
Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners
by: Large, Nick Le, et al.
Published: (2026)
by: Large, Nick Le, et al.
Published: (2026)
Driving Everywhere with Large Language Model Policy Adaptation
by: Li, Boyi, et al.
Published: (2024)
by: Li, Boyi, et al.
Published: (2024)
Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
by: Jacinto, Marcelo, et al.
Published: (2023)
by: Jacinto, Marcelo, et al.
Published: (2023)
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation
by: Navarro, Ingrid, et al.
Published: (2023)
by: Navarro, Ingrid, et al.
Published: (2023)
Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers
by: Chen, Yutian, et al.
Published: (2025)
by: Chen, Yutian, et al.
Published: (2025)
A Rule-Compliance Path Planner for Lane-Merge Scenarios Based on Responsibility-Sensitive Safety
by: Lin, Pengfei, et al.
Published: (2024)
by: Lin, Pengfei, et al.
Published: (2024)
UniSaT: Unified-Objective Belief Model and Planner to Search for and Track Multiple Objects
by: Santos, Leonardo, et al.
Published: (2024)
by: Santos, Leonardo, et al.
Published: (2024)
eRSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous Driving
by: Lin, Pengfei, et al.
Published: (2024)
by: Lin, Pengfei, et al.
Published: (2024)
Online Distribution Shift Detection via Recency Prediction
by: Luo, Rachel, et al.
Published: (2022)
by: Luo, Rachel, et al.
Published: (2022)
ELLIPSE: Evidential Learning for Robust Waypoints and Uncertainties
by: Dong, Zihao, et al.
Published: (2026)
by: Dong, Zihao, et al.
Published: (2026)
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration
by: Baek, Seungjae, et al.
Published: (2025)
by: Baek, Seungjae, et al.
Published: (2025)
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
by: Moon, Brady, et al.
Published: (2025)
by: Moon, Brady, et al.
Published: (2025)
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
by: Li, Xibo, et al.
Published: (2024)
by: Li, Xibo, et al.
Published: (2024)
Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)
by: Gariboldi, Cristian, et al.
Published: (2024)
frax: Fast Robot Kinematics and Dynamics in JAX
by: Morton, Daniel, et al.
Published: (2026)
by: Morton, Daniel, et al.
Published: (2026)
Safe, Task-Consistent Manipulation with Operational Space Control Barrier Functions
by: Morton, Daniel, et al.
Published: (2025)
by: Morton, Daniel, et al.
Published: (2025)
Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
by: Bi, Jianxin, et al.
Published: (2024)
by: Bi, Jianxin, et al.
Published: (2024)
DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving
by: Ham, Hyeongchan, et al.
Published: (2025)
by: Ham, Hyeongchan, et al.
Published: (2025)
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
by: Kapoor, Parv, et al.
Published: (2025)
by: Kapoor, Parv, et al.
Published: (2025)
Self-Assessment of Evidential Grid Map Fusion for Robust Motion Planning
by: Schumann, Oliver, et al.
Published: (2024)
by: Schumann, Oliver, et al.
Published: (2024)
Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection
by: Qiu, Le, et al.
Published: (2025)
by: Qiu, Le, et al.
Published: (2025)
SanD-Planner: Sample-Efficient Diffusion Planner in B-Spline Space for Robust Local Navigation
by: Wang, Jincheng, et al.
Published: (2026)
by: Wang, Jincheng, et al.
Published: (2026)
TRUST-Planner: Topology-guided Robust Trajectory Planner for AAVs with Uncertain Obstacle Spatial-temporal Avoidance
by: Li, Junzhi, et al.
Published: (2025)
by: Li, Junzhi, et al.
Published: (2025)
Histo-Planner: A Real-time Local Planner for MAVs Teleoperation based on Histogram of Obstacle Distribution
by: Wang, Ze, et al.
Published: (2025)
by: Wang, Ze, et al.
Published: (2025)
DRIFT: Diffusion-based Rule-Inferred For Trajectories
by: Zhao, Jinyang, et al.
Published: (2026)
by: Zhao, Jinyang, et al.
Published: (2026)
Similar Items
-
The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
by: Patrikar, Jay, et al.
Published: (2025) -
Online Aggregation of Trajectory Predictors
by: Tong, Alex, et al.
Published: (2025) -
World2Rules: A Neuro-Symbolic Framework for Learning World-Governing Safety Rules for Aviation
by: Wang, Haichuan, et al.
Published: (2026) -
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
by: Aloor, Jasmine Jerry, et al.
Published: (2022) -
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
by: Diehl, Christopher, et al.
Published: (2024)