MM-ABC: Towards Generalist Mobile Manipulation via Seeing, Coordinating and Imagining
cs.RO
Submitted: 2026-09-28
Updated: 2026-09-28
Project page: https://bitrobot-foundation.github.io/humanoids-in-the-wild-500-hours
Terminology
Sources
- InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation
- GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation
- SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation
- FLARE: Robot Learning with Implicit World Modeling
- ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
- WAM4D: Fast 4D World Action Model via Spatial Register Tokens
- Causal Policy Gradient for Whole-Body Mobile Manipulation
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
- BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
- From Foundation to Application: Improving VLA Models in Practice
- Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos
- Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
- RLDX-1 Technical Report
- DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation
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