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The increase in available computing power and the Deep Learning revolution have allowed the exploration of new topics and frontiers in Artificial Intelligence research. A new field called Embodied Artificial Intelligence, which places at…

Robotics · Computer Science 2025-05-05 Roberto Bigazzi

Machine learning has long since become a keystone technology, accelerating science and applications in a broad range of domains. Consequently, the notion of applying learning methods to a particular problem set has become an established and…

Embodied Artificial Intelligence (AI) is an intelligent system formed by agents and their environment through active perception, embodied cognition, and action interaction. Existing embodied AI remains confined to human-crafted setting, in…

Emerging Technologies · Computer Science 2026-02-05 Tongtong Feng , Xin Wang , Wenwu Zhu

Embodied artificial intelligence (Embodied AI) plays a pivotal role in the application of advanced technologies in the intelligent era, where AI systems are integrated with physical bodies that enable them to perceive, reason, and interact…

Artificial Intelligence · Computer Science 2025-06-24 Zhaohan Feng , Ruiqi Xue , Lei Yuan , Yang Yu , Ning Ding , Meiqin Liu , Bingzhao Gao , Jian Sun , Xinhu Zheng , Gang Wang

This paper introduces the concept of coexistence for embodied artificial agents and argues that it is a prerequisite for long-term, in-the-wild interaction with humans. Contemporary embodied artificial agents excel in static, predefined…

Machine Learning · Computer Science 2025-06-03 Hannah Kuehn , Joseph La Delfa , Miguel Vasco , Danica Kragic , Iolanda Leite

Embodiment is an important characteristic for all intelligent agents (creatures and robots), while existing scene description tasks mainly focus on analyzing images passively and the semantic understanding of the scenario is separated from…

Robotics · Computer Science 2020-05-08 Sinan Tan , Huaping Liu , Di Guo , Xinyu Zhang , Fuchun Sun

Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As these systems gain autonomy and enter domains such as…

Human intelligence's adaptability is remarkable, allowing us to adjust to new tasks and multi-modal environments swiftly. This skill is evident from a young age as we acquire new abilities and solve problems by imitating others or following…

Artificial Intelligence · Computer Science 2023-05-19 Shrestha Mohanty , Negar Arabzadeh , Julia Kiseleva , Artem Zholus , Milagro Teruel , Ahmed Awadallah , Yuxuan Sun , Kavya Srinet , Arthur Szlam

We propose Embodied AI as the next fundamental step in the pursuit of Artificial General Intelligence, juxtaposing it against current AI advancements, particularly Large Language Models. We traverse the evolution of the embodiment concept…

Artificial Intelligence · Computer Science 2024-09-16 Giuseppe Paolo , Jonas Gonzalez-Billandon , Balázs Kégl

The development of embodied agents that can communicate with humans in natural language has gained increasing interest over the last years, as it facilitates the diffusion of robotic platforms in human-populated environments. As a step…

Robotics · Computer Science 2024-04-16 Roberto Bigazzi , Marcella Cornia , Silvia Cascianelli , Lorenzo Baraldi , Rita Cucchiara

The pursuit of artificial general intelligence (AGI) has placed embodied intelligence at the forefront of robotics research. Embodied intelligence focuses on agents capable of perceiving, reasoning, and acting within the physical world.…

A large body of compelling evidence has been accumulated demonstrating that embodiment - the agent's physical setup, including its shape, materials, sensors and actuators - is constitutive for any form of cognition and as a consequence,…

Artificial Intelligence · Computer Science 2021-10-20 Matej Hoffmann , Rolf Pfeifer

This paper addresses the topic of robustness under sensing noise, ambiguous instructions, and human-robot interaction. We take a radically different tack to the issue of reliable embodied AI: instead of focusing on formal verification…

Robotics · Computer Science 2026-01-13 Kenneth Kwok , Basura Fernando , Qianli Xu , Vigneshwaran Subbaraju , Dongkyu Choi , Boon Kiat Quek

This paper describes our research on AI agents embodied in visual, virtual or physical forms, enabling them to interact with both users and their environments. These agents, which include virtual avatars, wearable devices, and robots, are…

Artificial intelligence systems increasingly involve continual learning to enable flexibility in general situations that are not encountered during system training. Human interaction with autonomous systems is broadly studied, but research…

Humanoid robots, as general-purpose physical agents, must integrate both intelligent control and adaptive morphology to operate effectively in diverse real-world environments. While recent research has focused primarily on optimizing…

Robotics · Computer Science 2025-10-06 Guiliang Liu , Bo Yue , Yi Jin Kim , Kui Jia

Seamlessly interacting with humans or robots is hard because these agents are non-stationary. They update their policy in response to the ego agent's behavior, and the ego agent must anticipate these changes to co-adapt. Inspired by humans,…

Robotics · Computer Science 2020-11-16 Annie Xie , Dylan P. Losey , Ryan Tolsma , Chelsea Finn , Dorsa Sadigh

In the real world, robots with embodiment face various issues such as dynamic continuous changes of the environment and input/output disturbances. The key to solving these issues can be found in daily life; people `do actions associated…

Robotics · Computer Science 2013-07-29 Megumi Fujita , Yuki Goto , Naoyuki Nide , Ken Satoh , Hiroshi Hosobe

A common vision from science fiction is that robots will one day inhabit our physical spaces, sense the world as we do, assist our physical labours, and communicate with us through natural language. Here we study how to design artificial…

Autonomous agents (robots) face tremendous challenges while interacting with heterogeneous human agents in close proximity. One of these challenges is that the autonomous agent does not have an accurate model tailored to the specific human…

Robotics · Computer Science 2023-04-25 Shuangge Wang , Yiwei Lyu , John M. Dolan
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