CoRL 2025PastSafety & alignmentRobotics
2nd Workshop on Safe and Robust Robot Learning for Operation in the Real World
SAFE-ROL
- Submission deadline
- Aug 23, 2025, 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 (25)
Fetched from OpenReview (v2) on 2026-06-10.
AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models
Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters
Challenger: Affordable Adversarial Driving Video Generation
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments
Dual-Objective Reinforcement Learning through novel Hamilton-Jacobi Bellman Formulations
EigenSafe: A Spectral Framework for Learning-Based Stochastic Safety Filtering
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning
HuB: Learning Extreme Humanoid Balance
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
Learning Feasibility from Failure Data in Vision–Language–Action Models
Model Predictive Adversarial Imitation Learning for Planning from Observation
RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
Reliable Change Detection for Long-Term LiDAR Mapping in Transient Environments
Reliably Augmenting Real-World Tests with Simulation for Scalable Robot Policy Evaluation
Risk-Bounded Multi-Agent Visual Navigation via Dynamic Budget Allocation
SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
Touch begins where vision ends: Generalizable policies for contact-rich manipulation
Towards Safe Robot Foundation Models Using Inductive Biases
Uncertainty-Aware Distributionally Robust Model Predictive Control for Safe Autonomous Driving