AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation Paper • 2609.22332 • Published 4 days ago • 20
Execution Before Memory: Diagnosing Memory Failures in Video World Models Paper • 2610.23542 • Published 6 days ago • 32
Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels Paper • 2607.26121 • Published Jul 28 • 1
LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards Paper • 2602.05758 • Published 10 days ago • 27
RoboAware: Learning to Coordinate Embodied Skills from Counterfactual Outcomes Paper • 2610.11480 • Published 14 days ago • 4
AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding Paper • 2610.16985 • Published 10 days ago • 11
LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards Paper • 2602.05758 • Published 10 days ago • 27
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives Paper • 2609.39601 • Published 22 days ago • 314
WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation Paper • 2609.34199 • Published 24 days ago • 3
AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation Paper • 2609.22332 • Published 4 days ago • 20
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed Paper • 2609.39600 • Published 22 days ago • 97
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives Paper • 2609.39601 • Published 22 days ago • 314
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed Paper • 2609.39600 • Published 22 days ago • 97
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives Paper • 2609.39601 • Published 22 days ago • 314
ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editing Paper • 2609.38541 • Published 23 days ago • 33
ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editing Paper • 2609.38541 • Published 23 days ago • 33
Nano World Models: A Minimalist Implementation of Future Video Prediction Paper • 2605.23993 • Published May 27
PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing Paper • 2609.23784 • Published Sep 20 • 16
PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing Paper • 2609.23784 • Published Sep 20 • 16