Robotics Research Hub

ar-vr

24 papers

AR/VR interfaces for robotic teleoperation and interaction.

ar-vr humanoid locomotion evaluation generation manipulation rl diffusion-policy assembly simulation gpu-acceleration behavior-cloning imitation-learning

Papers

Sorted by year (newest first)
Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning

Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning

Satoshi Yamamori, Koji Ishihara, Kentaro Minamikawa et al. · arXiv preprint · Jul 2026

Sim-to-real transfer in robot learning is often limited by discrepancies between the ideal actuator dynamics assumed during policy training and the nonlinear, hardware-dependent be...

ar-vr humanoid locomotion
PDF Intermediate
No code repo Jul 2026
MemoryWAM: Efficient World Action Modeling with Persistent Memory

MemoryWAM: Efficient World Action Modeling with Persistent Memory

Sizhe Yang, Juncheng Mu, Tianming Wei et al. · arXiv preprint · Jun 2026

Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling. World action models (WAMs) posse...

ar-vr gpu-acceleration manipulation
PDF Intermediate
No code repo Jun 2026
MemoryWAM: Efficient World Action Modeling with Persistent Memory

MemoryWAM: Efficient World Action Modeling with Persistent Memory

Sizhe Yang, Juncheng Mu, Tianming Wei et al. · arXiv preprint · Jun 2026

Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling. World action models (WAMs) posse...

ar-vr gpu-acceleration manipulation
PDF Intermediate
No code repo Jun 2026
Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Kinam Kim, Namiko Saito, Heecheol Kim et al. · arXiv preprint · Jun 2026

Vision-Language-Action (VLA) models can generalize across diverse manipulation tasks, but their imitation-learning-based policies remain brittle in precise physical interactions du...

ar-vr manipulation rl
PDF Intermediate
No code repo Jun 2026
Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Kinam Kim, Namiko Saito, Heecheol Kim et al. · arXiv preprint · Jun 2026

Vision-Language-Action (VLA) models can generalize across diverse manipulation tasks, but their imitation-learning-based policies remain brittle in precise physical interactions du...

ar-vr manipulation rl
PDF Intermediate
No code repo Jun 2026
WorldSample: Closed-loop Real-robot RL with World Modelling

WorldSample: Closed-loop Real-robot RL with World Modelling

Yuquan Xue, Le Xu, Zeyi Liu et al. · arXiv preprint · Jul 2026

Reinforcement learning (RL) can overcome the demonstration-coverage limitation of imitation learning (IL) by allowing robots to improve through trial-and-error interaction beyond t...

ar-vr generation imitation-learning
PDF Intermediate
No code repo Jul 2026

Suggested Learning Path

Read these papers in order to build expertise in ar-vr.

  1. 1
    Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning

    Satoshi Yamamori, Koji Ishihara et al. · 2026

  2. 2
    Co-VLA: Coordination-Aware Structured Action Modeling for Dual-Arm Vision-Language-Action Systems

    Yandong Wang, Jiaqian Yu et al. · 2026

  3. 3
    Co-VLA: Coordination-Aware Structured Action Modeling for Dual-Arm Vision-Language-Action Systems

    Yandong Wang, Jiaqian Yu et al. · 2026

  4. 4
    CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning

    Hexian Ni, Tao Lu et al. · 2026

  5. 5
    Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think

    Gia-Binh Nguyen, Trong-Bao Ho et al. · 2026

  6. 6
    Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think

    Gia-Binh Nguyen, Trong-Bao Ho et al. · 2026

…and 18 more papers.