World Value Models for Robotic Manipulation
Paper • 2606.24742 • Published • 5
Robotics
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In-Context World Modeling for Robotic Control
Paper • 2606.26025 • Published • 36 -
ASPIRE: Agentic /Skills Discovery for Robotics
Paper • 2607.00272 • Published • 23 -
τ_0-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
Paper • 2608.16885 • Published • 12 -
Show-Harness: Just a VLM Agent Can Play Robots
Paper • 2609.10522 • Published • 99 -
In-Context Robot Learning with VLM Agents
Paper • 2609.19138 • Published • 20 -
Transferring the Intelligence of VLMs to Robotic Control
Paper • 2609.22966 • Published • 59 -
Embodied Turing Machines: Stateful Code for Robot Recursive Self-Improvement
Paper • 2610.12369 • Published • 24 -
HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents
Paper • 2610.23479 • Published • 79 -
RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild
Paper • 2611.02497 • Published • 51 -
PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data
Paper • 2611.05320 • Published • 28 -
Open-HumanWAM: An Open Recipe for Scaling Human and Robot Experience for Embodied Foundation Models
Paper • 2611.06817 • Published • 36 -
World In-Context Learning for Agentic Robot Manipulation
Paper • 2611.12885 • Published • 58