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Embodied AI robots have the potential to fundamentally improve the way human beings live and manufacture. Continued progress in the burgeoning field of using large language models to control robots depends critically on an efficient…

Hardware Architecture · Computer Science 2025-06-10 Yiyang Huang , Yuhui Hao , Bo Yu , Feng Yan , Yuxin Yang , Feng Min , Yinhe Han , Lin Ma , Shaoshan Liu , Qiang Liu , Yiming Gan

As robots increasingly become part of shared human spaces, their movements must transcend basic functionality by incorporating expressive qualities to enhance engagement and communication. This paper introduces a movement-centered design…

Embodied interaction has been introduced to human-robot interaction (HRI) as a type of teleoperation, in which users control robot arms with bodily action via handheld controllers or haptic gloves. Embodied teleoperation has made robot…

Robotics · Computer Science 2024-11-22 Siyou Pei , Alexander Chen , Ronak Kaoshik , Ruofei Du , Yang Zhang

The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for…

In embodied intelligence, the embodiment gap between robotic and human hands brings significant challenges for learning from human demonstrations. Although some studies have attempted to bridge this gap using reinforcement learning, they…

This paper introduces an upper limb postural optimization method for enhancing physical ergonomics and force manipulability during bimanual human-robot co-carrying tasks. Existing research typically emphasizes human safety or manipulative…

Robotics · Computer Science 2025-11-07 Chenzui Li , Yiming Chen , Xi Wu , Giacinto Barresi , Fei Chen

This paper introduces and overviews a multidisciplinary project aimed at developing responsible and adaptive multi-human multi-robot (MHMR) systems for complex, dynamic settings. The project integrates co-design, ethical frameworks, and…

With robots leaving factories and entering less controlled domains, possibly sharing the space with humans, safety is paramount and multimodal awareness of the body surface and the surrounding environment is fundamental. Taking inspiration…

Robotics · Computer Science 2018-01-18 Dong Hai Phuong Nguyen , Matej Hoffmann , Alessandro Roncone , Ugo Pattacini , Giorgio Metta

Physical intelligence holds immense promise for advancing embodied intelligence, enabling robots to acquire complex behaviors from demonstrations. However, achieving generalization and transfer across diverse robotic platforms and…

Robotics · Computer Science 2025-03-10 Yu Zhao , Huxian Liu , Xiang Chen , Jiankai Sun , Jiahuan Yan , Luhui Hu

We study a human-robot collaborative transportation task in presence of obstacles. The task for each agent is to carry a rigid object to a common target position, while safely avoiding obstacles and satisfying the compliance and actuation…

Robotics · Computer Science 2022-07-14 Tony Zheng , Monimoy Bujarbaruah , Yvonne R. Stürz , Francesco Borrelli

Humanoid robots, capable of assuming human roles in various workplaces, have become essential to embodied intelligence. However, as robots with complex physical structures, learning a control model that can operate robustly across diverse…

Robotics · Computer Science 2025-05-20 Sixu Lin , Guanren Qiao , Yunxin Tai , Ang Li , Kui Jia , Guiliang Liu

The field of Human-Robot Collaboration (HRC) has seen a considerable amount of progress in recent years. Thanks in part to advances in control and perception algorithms, robots have started to work in increasingly unstructured environments,…

Robotics · Computer Science 2022-02-15 Olivier Mangin , Alessandro Roncone , Brian Scassellati

In this paper, we present a model set for designing human-robot collaboration (HRC) experiments. It targets a common scenario in HRC, which is the collaborative assembly of furniture, and it consists of a combination of standard components…

Robotics · Computer Science 2018-01-18 Sofya Zeylikman , Sarah Widder , Alessandro Roncone , Olivier Mangin , and Brian Scassellati

Intuitive Teleoperation interfaces are essential for mobile manipulation robots to ensure high quality data collection while reducing operator workload. A strong sense of embodiment combined with minimal physical and cognitive demands not…

Achieving both behavioral similarity and appropriateness in human-like motion generation for humanoid robot remains an open challenge, further compounded by the lack of cross-embodiment adaptability. To address this problem, we propose…

Robotics · Computer Science 2025-08-27 Shipeng Lyu , Fangyuan Wang , Weiwei Lin , Luhao Zhu , David Navarro-Alarcon , Guodong Guo

The recent revolution of intelligent systems made it possible for robots and autonomous systems to work alongside humans, collaborating with them and supporting them in many domains. It is undeniable that this interaction can have huge…

Robotics · Computer Science 2020-11-03 Basel Alhaji , Andreas Rausch , Michael Prilla

To address the gaps between the static pre-set "thinking-planning-action" of humanoid robots in unfamiliar scenarios and the highly programmed "call tool-return result" due to the lack of autonomous coding capabilities, this work designs a…

Robotics · Computer Science 2025-05-27 Libo Wang

The goal of the Internet of Things (IoT) is to transform any thing around us, such as a trash can or a street light, into a smart thing. A smart thing has the ability of sensing, processing, communicating and/or actuating. In order to…

Artificial Intelligence · Computer Science 2018-01-16 Nathalia Moraes do Nascimento , Carlos Jose Pereira de Lucena

Softening and onboarding computers and controllers is one of the final frontiers in soft robotics towards their robustness and intelligence for everyday use. In this regard, embodying soft and physical computing presents exciting potential.…

Robotics · Computer Science 2026-02-10 Jun Wang , Ziyang Zhou , Ardalan Kahak , Suyi Li

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