arXiv AI

Principles of Robot Autonomy

arXiv:2608. 03496v1 Announce Type: cross Abstract: Autonomous robots are moving rapidly from research labs into everyday life - on roads, in the air, in warehouses, and in space.

arXiv AI
Jun 24

Engineering Reliable Autonomous Systems: Challenges and Solutions

arXiv:2606. 23760v1 Announce Type: cross Abstract: Engineering reliable autonomous systems is an important and growing topic in computer science.

By Marie Farrell, Matt Luckcuck, Angelo Ferrando, Rafael C. Cardoso, Natasha Alechina, Marco Autili, Diana Benjumea Hernandez, Luciana Brasil Rebelo dos Santos, Daniela Briola, Ana Cavalcanti, Christian Colombo, Louise A. Dennis, Clare Dixon, Michael Fisher, Mario Gleirscher, Taylor Johnson, Charles Lesire, Livia Lestingi, Sven Linker, Brian Logan, Colin Paterson, Fabio Papacchini, Patrizio Pelliccione, Pedro Ribeiro, Maike Schwammberger, Silvia Lizeth Tapia Tarifa, Hazel Taylor, Jim Woodcock, Mengwei Xu, Yi Yang, Huan Zhang
arXiv AI
Jun 19

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

arXiv:2606. 19980v1 Announce Type: new Abstract: Achieving dexterous robotic manipulation in the real world heavily relies on human supervision and algorithm engineering, which becomes a central bottleneck in the pursuit of general physical intelligence.

By Wenli Xiao, Jia Xie, Tonghe Zhang, Haotian Lin, Letian "Max" Fu, Haoru Xue, Jalen Lu, Yi Yang, Cunxi Dai, Zi Wang, Jimmy Wu, Guanzhi Wang, S. Shankar Sastry, Ken Goldberg, Linxi "Jim" Fan, Yuke Zhu, Guanya Shi
arXiv Computation and Language
Sep 14

Agent as Policy for Robotic Manipulation

arXiv:2609.12541v1 Announce Type: new Abstract: We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution without any task-specific or environment-spec...

By Mengzhao Jia, Yang Lin, Xixin Zhang, Zhihan Zhang, Xiaobai Liu, Meng Jiang
arXiv AI
Jul 2

ASPIRE: Agentic /Skills Discovery for Robotics

arXiv:2607. 00272v1 Announce Type: cross Abstract: Traditional robot programming is challenging: it requires orchestrating multimodal perception, managing physical contact dynamics, and handling diverse configurations and execution failures.

By Runyu Lu, Yubo Wu, Ethan Kou, Letian Fu, Wenli Xiao, Ajay Mandlekar, Yinzhen Xu, Guanya Shi, Ken Goldberg, Ang Chen, Mosharaf Chowdhury, Yuke Zhu, Linxi "Jim" Fan, Guanzhi Wang
arXiv AI
Jun 10

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents

arXiv:2606. 10267v1 Announce Type: cross Abstract: Hierarchical vision-language-action (Hi-VLA) systems have emerged as a promising paradigm for complex robot manipulation, by using high-level VLM planners to decompose tasks into language subgoals executed by low-level VLA controllers.

By Jiaheng Hu, Mohit Shridhar, Caden Lu, Dhruv Shah, Hao-Tien Lewis Chiang, Jie Tan, Annie Xie
Hugging Face Trending Papers
Jul 22

NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation

Robots deployed in delivery, campus, and emergency-response settings often need to navigate from buildings to streets within a single continuous episode. Existing benchmarks usually evaluate indoor and outdoor navigation separately, and many abstract away robot execution, leaving exit finding, boundary traversal, adaptation, and kinodynamic failures underexplored.