Robotics papers

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15 papers found

ReviewPaperPublishedTopics

6.8Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic ManipulationUnderstanding safety in robotic manipulation is crucial for deploying AI systems in real-world environments where failures can have significant consequences.Jun 6, 2026Robotics Safety Survey

6.8Learning of Robot Safety Policies via Adversarial Synthetic ScenariosThis research addresses the critical need for robust safety mechanisms in robots operating in unpredictable real-world environments, which is essential for their safe deployment.Jun 6, 2026Robotics Safety

6.8Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous SystemsUnderstanding and mitigating silent failures in autonomous systems is crucial for ensuring the safety and reliability of AI-driven physical actions in real-world applications.Jun 2, 2026Safety Robotics Survey

7.5AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked ModelingThis work addresses the critical challenge of generating human motion across multiple modalities, which is essential for advancements in robotics and computer vision applications.May 29, 2026Multimodal Data Robotics

7.5Reliable Reasoning with Large Language Models via Preference-Based Maximum SatisfiabilityThis research addresses a significant limitation in LLMs' ability to handle complex optimization tasks, making it relevant for applications in robotics and other constraint-heavy domains.May 29, 2026LLM Reasoning Robotics

7.5Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive DomainsAs foundation models are increasingly used in critical areas like education and mental health, ensuring their safe and context-aware operation is essential to prevent harmful outcomes.May 21, 2026Safety Robotics Alignment

7.5No Plan, Yet Human: A Reactive Robotics Model Predicts Human Planning Failures on a Clinical TaskThis research bridges robotics and cognitive science, offering insights into human planning processes that could inform both AI development and clinical assessments.May 19, 2026Robotics Reasoning

6.8Say the Mission, Execute the Swarm: Agent-Enhanced LLM Reasoning in the Web-of-DronesThis research explores the potential of LLMs in real-time UAV swarm management, a growing area of interest in autonomous systems and robotics, highlighting both capabilities and current limitations.May 7, 2026LLM Agent Reasoning

7.0Safety in Embodied AI: A Survey of Risks, Attacks, and DefensesUnderstanding safety in embodied AI is crucial as these systems are increasingly deployed in safety-critical environments like healthcare and transportation.May 7, 2026Survey Safety Security

7.5MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle CollaborationThis research addresses critical challenges in human-vehicle collaboration, potentially improving safety and user experience in partially automated driving systems.May 6, 2026Agent Alignment Safety

7.5Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety PrinciplesThis work addresses critical challenges in rule-based systems, particularly in safety-critical domains like autonomous driving, by providing a structured approach to goal specification and rule maintenance.May 1, 2026LLM Agent Safety

7.5A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex SocietiesThis research addresses the evolving dynamics of human-AI interactions, offering insights that could inform the design of more effective governance structures in AI systems.Apr 30, 2026Alignment Robotics Other

7.5Benchmarking the Safety of Large Language Models for Robotic Health Attendant ControlUnderstanding the safety of LLMs in healthcare applications is crucial for ensuring patient safety and effective robotic assistance.Apr 30, 2026LLM Robotics Safety

7.5RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement LearningAs reinforcement learning is increasingly applied in safety-critical domains, this framework provides a necessary tool for identifying potential hazards that traditional methods overlook.Apr 18, 2026Safety Robotics Evaluation

8.5Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical SystemsAs AI systems increasingly interact with humans and physical environments, ensuring their reliability and predictability is crucial for safety and effectiveness, particularly in applications like autonomous driving.Apr 14, 2026Agent Other Robotics