Awesome Papers

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In-Context World Modeling for Robotic Control

Siyin Wang et al. · 2026

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model

Ronghan Chen et al. · 2026

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

Jie Zhang et al. · 2026

Guava: An Effective and Universal Harness for Embodied Manipulation

Haowen Liu et al. · 2026

GEM: Generative Supervision Helps Embodied Intelligence

Ruowen Zhao et al. · 2026

PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation

Peiwen Zhang et al. · 2026

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Haozhan Li et al. · 2025

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

Seongheon Park et al. · 2026

Control

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Optimization-based Collision Avoidance

Xiaojing Zhang, Alexander Liniger, Francesco Borrelli · 2017

CAD2RL: Real Single-image Flight Without A Single Real Image

Fereshteh Sadeghi, Sergey Levine · 2016

CIRL: Controllable Imitative Reinforcement Learning For Vision-based Self-driving

Xiaodan Liang, Tairui Wang, Luona Yang, et al. · 2018

Conditional Generative Neural System For Probabilistic Trajectory Prediction

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka · 2019

Derivative-based Koopman Operators For Real-time Control Of Robotic Systems

Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, et al. · 2020

Distributed Controller-estimator For Target Tracking Of Networked Robotic Systems Under Sampled Interaction

Ming-Feng Ge, Zhi-Hong Guan, Bin Hu, et al. · 2016

Robotics

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SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Haozhan Li et al. · 2025

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones

Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, et al. · 2020

Self-organizing Maps For Storage And Transfer Of Knowledge In Reinforcement Learning

Thommen George Karimpanal, Roland Bouffanais · 2018

Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-based RL For Sparse Cost Robotic Tasks

Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, et al. · 2019

Visuomotor Mechanical Search: Learning To Retrieve Target Objects In Clutter

Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, et al. · 2020

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model

Ronghan Chen et al. · 2026

Manipulation

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Diffusion-based Generation, Optimization, And Planning In 3D Scenes

Siyuan Huang, Zan Wang, Puhao Li, et al. · 2023

ARCTIC: A Dataset For Dexterous Bimanual Hand-object Manipulation

Zicong Fan, Omid Taheri, Dimitrios Tzionas, et al. · 2022

Tactilegcn: A Graph Convolutional Network For Predicting Grasp Stability With Tactile Sensors

Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano, et al. · 2019

A Visually Plausible Grasping System For Object Manipulation And Interaction In Virtual Reality Environments

Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, et al. · 2019

Scene-driven Multimodal Knowledge Graph Construction For Embodied AI

Song Yaoxian, Sun Penglei, Liu Haoyu, et al. · 2023

PMP: Learning To Physically Interact With Environments Using Part-wise Motion Priors

Jinseok Bae, Jungdam Won, Donggeun Lim, et al. · 2023

🏆 Benchmark leaderboards

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CALVIN (Long-Horizon Manipulation)

calvin · Avg Sequence Length

LIBERO (VLA Manipulation)

libero · Success Rate

maniskill2 · Success Rate

RLBench (Multi-Task Manipulation)

rlbench · Success Rate

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