Embodied AI
- Legged Locomotion in Challenging Terrains using Egocentric Vision
- PhysiAgent: An Embodied Agent Framework in Physical World
- Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries
- Learning Agile Locomotion on Risky Terrains
- START: Traversing Sparse Footholds with Terrain Reconstruction
- Neural Scene Representation for Locomotion on Structured Terrain
- Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
- π0: A Vision-Language-Action Flow Model for General Robot Control
- Attention-Based Map Encoding for Learning Generalized Legged Locomotion
- High-speed control and navigation for quadrupedal robots on complex and discrete terrain
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
- StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
- NaVILA: Legged Robot Vision-Language-Action Model for Navigation
- WildLMA: Long Horizon Loco-MAnipulation in the Wild
- AGENTGUARD: Repurposing Agentic Orchestrator for Safety Evaluation of Tool Orchestration
- VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures
- π0.5: a Vision-Language-Action Model with Open-World Generalization
- VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots
- Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey
- SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents
- VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
- Evidence-Bound Autonomous Research (EviBound): A Governance Framework for Eliminating False Claims
- Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models
- RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic
- RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration
- AME-2 Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models
- TAMOLS: Terrain-Aware Motion Optimization for Legged Systems
- Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control