Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation
cs.RO
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- History-Aware Visuomotor Policy Learning via Point Tracking
- PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
- $\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models
- RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
- Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
- RVT-2: Learning Precise Manipulation from Few Demonstrations
- Instruction-driven history-aware policies for robotic manipulations
- Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
- BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
- ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
- 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
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