Co-Evolving Robot Orchestrators and Policies through Deployment
cs.RO, cs.SY, eess.SY
Submitted: 2026-10-06
Updated: 2026-10-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
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- Curating Demonstrations using Online Experience
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- Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D Worlds
- Imitating Task and Motion Planning with Visuomotor Transformers
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
- Addressing the Orchestration Gap in Generalist Robots via Physical Agency
- Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents
- RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
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