NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime
Paper • 2610.10787 • Published • 7 •
3
jjuang118
Jethro37
AI & ML interests
Embodied Agent
Recent Activity
upvoted a paper 6 days ago
WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents upvoted a paper 6 days ago
RoboAware: Learning to Coordinate Embodied Skills from Counterfactual Outcomes upvoted a paper 6 days ago
No Place to Hide: Benchmarking Video Hallucination with Background-Controlled PairsOrganizations
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commented 8
papers 9 days ago
Physical Time as a Missing Dimension of Robot Policy Memory Dynamics
Paper • 2610.20524 • Published • 6 •
4
From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents
Paper • 2610.19420 • Published • 10 •
3
TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency
Paper • 2610.17540 • Published • 3 •
2
Learning Transferable World-Action Models from Task-Paired Human Videos
Paper • 2610.14351 • Published • 12 •
3
Systematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Method
Paper • 2609.35965 • Published • 14 •
4
Dex-One2Many: Learning Dexterous Manipulation from a Single Human Demonstration
Paper • 2610.12470 • Published • 2 •
3
Encore: Few-Shot Agentic Discovery of Manipulation Strategies
Paper • 2609.37359 • Published • 4 •
3
commented a
paper 13 days ago
commented 11
papers 14 days ago
Modality-Autoregressive World-Action Models
Paper • 2609.17524 • Published • 12 •
2
Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control
Paper • 2609.28339 • Published • 30 •
6
NavHarness: Towards Lifelong Embodied Navigation
Paper • 2609.34276 • Published • 6 •
3
SatNav: A Scalable Benchmark for Long-Horizon UAV Vision-Language Navigation from Satellite Imagery
Paper • 2609.31507 • Published • 6 •
3
RoboCoach: World Models as Active Coaches for Compositional Robot Skills
Paper • 2609.39685 • Published • 17 •
4
Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies
Paper • 2609.38537 • Published • 34 •
3
ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context
Paper • 2609.36684 • Published • 20 •
3
EVO-WAM: Evolving World Action Models through Video-Action Verification
Paper • 2609.38057 • Published • 49 •
3
What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling
Paper • 2609.34981 • Published • 141 •
4
RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
Paper • 2609.32862 • Published • 27 •
3
Coding Agents for Generalized Task and Motion Planning Problems
Paper • 2609.30233 • Published • 28 •
3