arXiv AI June 16, 2026 By Dongmin Kim, Hoshinori Kanazawa, Yasuo Kuniyoshi

Active Inference with a Self-Prior in the Mirror-Mark Task

arXiv:2604. 09673v2 Announce Type: replace-cross Abstract: The mirror self-recognition test evaluates whether a subject touches a mark on its own body that is visible only in a mirror, and is widely used as an indicator of self-awareness.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv Machine Learning

Jul 14

A computational model of infant sensorimotor exploration in the mobile paradigm

arXiv:2504. 17939v2 Announce Type: replace-cross Abstract: We present a computational model of the mechanisms that may determine infant behavior in the "mobile paradigm".

By Josua Spisak, Sergiu Tcaci Popescu, Stefan Wermter, Matej Hoffmann, J. Kevin O'Regan

llms benchmarks

arXiv AI

Jul 28

Embodied GPT-5.1: Evidence of a World Model?

arXiv:2607. 23899v1 Announce Type: cross Abstract: This exploratory study examines whether a large multimodal language model, GPT-5.

By Roberto Spinelli, Thiago C. Martins

llms robotics multimodal safety

arXiv AI

Jun 30

From Detecting Agency to Doing Work: Self-Caused Credit Builds a Durable Behavioral Self in a Minimal Spiking Agent

arXiv:2606. 30191v1 Announce Type: new Abstract: How does an agent that can tell self from world come to be durably shaped by that distinction?

By Haoliang Han

agents benchmarks

arXiv AI

Jun 24

NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

arXiv:2606. 24450v1 Announce Type: cross Abstract: Perceiving physical contact is fundamental to dexterous manipulation.

By Soham Patil, Avirup Das, Sourabh Bhosale, Spandan Roy

llms agents reinforcement-learning robotics multimodal

arXiv AI

Jul 15

Human-AI Agent Interaction as a Neuroplastic Training Environment

arXiv:2607. 12823v1 Announce Type: new Abstract: Interaction with AI agents has become one of the most frequent activities of everyday digital life.

By Eranga Bandara, Ross Gore, Asanga Gunaratna, Ravi Mukkamala, Nihal Siriwardanagea, Gihan Siriwardanagea, Sachini Rajapakse, Isurunima Kularathna, Pramoda Karunarathna, Chalani Rajapakse, Sachin Shetty, Christopher K. Rhea, Ng Wee Keong, Kasun De Zoysa, Amin Hass, Shaifali Kaushik, Wathsala Herath, Preston Samuel, Anita H. Clayton, Atmaram Yarlagadd

llms agents

arXiv AI

Jun 11

Blind Dexterous Grasping via Real2Sim2Real Tactile Policy Learning

arXiv:2606. 11767v1 Announce Type: cross Abstract: Blind grasping with a dexterous hand is a crucial manipulation capability.

By Shengcheng Luo, Xiyan Huang, Zhe Xu, Wanlin Li, Ziyuan Jiao, Chenxi Xiao

diffusion robotics

Related stories

A computational model of infant sensorimotor exploration in the mobile paradigm

Embodied GPT-5.1: Evidence of a World Model?

From Detecting Agency to Doing Work: Self-Caused Credit Builds a Durable Behavioral Self in a Minimal Spiking Agent

NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

Human-AI Agent Interaction as a Neuroplastic Training Environment

Blind Dexterous Grasping via Real2Sim2Real Tactile Policy Learning