CoRL 2024PastSafety & alignmentRobotics
CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World
CoRL 2024 Workshop SAFE-ROL
- Submission deadline
- Oct 10, 2024, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (27)
Fetched from OpenReview (v2) on 2026-06-10.
Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning
Conformalized Reachable Sets for Obstacle Avoidance With Spheres
Constrained Meta Agnostic Reinforcement Learning
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
Evolving Control: Evolved High Frequency Control for Continuous Control Tasks
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
Guiding reinforcement learning using constrained uncertainty-aware movement primitives
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Neural Eulerian Scene Flow Fields
Neural MP: A Generalist Neural Motion Planner
Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
PACER: Preference-conditioned All-terrain Costmap genERation
Planning with Adaptive World Models for Autonomous Driving
Problem Space Transformations for Generalisation in Behavioural Cloning
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Safe Diffusion Model Predictive Control for Interactive Robotic Crowd Navigation
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations
Uncertainty-Aware Failure Detection for Imitation Learning Robot Policies
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation