CoRL 2025 Past Safety & alignmentRobotics
2nd Workshop on Safe and Robust Robot Learning for Operation in the Real World
SAFE-ROL
- Submission deadline
- Aug 23, 2025, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (25)
Fetched from OpenReview (v2) on 2026-06-10.
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AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models
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Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters
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Challenger: Affordable Adversarial Driving Video Generation
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Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
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Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments
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Dual-Objective Reinforcement Learning through novel Hamilton-Jacobi Bellman Formulations
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EigenSafe: A Spectral Framework for Learning-Based Stochastic Safety Filtering
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Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
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Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
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From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting
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Grounded Vision-Language Interpreter for Integrated Task and Motion Planning
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HuB: Learning Extreme Humanoid Balance
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Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
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Learning Feasibility from Failure Data in Vision–Language–Action Models
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Model Predictive Adversarial Imitation Learning for Planning from Observation
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RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation
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Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
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REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
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Reliable Change Detection for Long-Term LiDAR Mapping in Transient Environments
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Reliably Augmenting Real-World Tests with Simulation for Scalable Robot Policy Evaluation
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Risk-Bounded Multi-Agent Visual Navigation via Dynamic Budget Allocation
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SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
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Touch begins where vision ends: Generalizable policies for contact-rich manipulation
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Towards Safe Robot Foundation Models Using Inductive Biases
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Uncertainty-Aware Distributionally Robust Model Predictive Control for Safe Autonomous Driving