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Journal articles on the topic 'Embodied robotics'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Zhao, Zikai, Qiuxuan Wu, Jian Wang, Botao Zhang, Chaoliang Zhong, and Anton A. Zhilenkov. "Exploring Embodied Intelligence in Soft Robotics: A Review." Biomimetics 9, no. 4 (2024): 248. http://dx.doi.org/10.3390/biomimetics9040248.

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Soft robotics is closely related to embodied intelligence in the joint exploration of the means to achieve more natural and effective robotic behaviors via physical forms and intelligent interactions. Embodied intelligence emphasizes that intelligence is affected by the synergy of the brain, body, and environment, focusing on the interaction between agents and the environment. Under this framework, the design and control strategies of soft robotics depend on their physical forms and material properties, as well as algorithms and data processing, which enable them to interact with the environme

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Mazzolai, Barbara, Emanuela Del Dottore, Francesca Tramacere, Alessio Mondini, and Laura Margheri. "Embodied Intelligence in Plants." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1757-899x/1261/1/012003.

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Abstract Envisioning a rethink of the design of robotic systems is necessary for a step-change in developing more sustainable and efficient artificial machines. Recent trends in robotics have embraced the idea of taking inspiration from plants to create energy-efficient components, self-morphing growing robots, biodegradable robots, and the definition of novel models of embodied intelligence and morphological computation. Plants can move and grow in air, soil, and water. They can sense and explore the surrounding environment, continuously grow and adapt their shape, and even communicate with e

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S. Kalaivani, D. Nasreen Banu, I. Parvin Begum, and Jeevitha Sivasamy. "Cognitive Robotics: Integrating Artificial Intelligence and Embodied Intelligence for Advanced Problem Solving." December 2023 5, no. 4 (2023): 462–80. http://dx.doi.org/10.36548/jaicn.2023.4.002.

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Artificial intelligence (AI) and embodied intelligence are combined in cognitive robotics, which marks a paradigm change in highly developed problem-solving skills. This study offers a comprehensive review of the theoretical underpinnings, practical difficulties, practical applications, and moral implications of cognitive robots. The study explores machine learning methods, natural language processing tools, and computer vision technologies after introducing the fundamental concepts. It clarifies embodied intelligence further by emphasizing the important roles that sensory data fusion, robotic

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NAKAGAWA, Yuki, Akio ISHIGURO, Tetsuya OGATA, Riichiro TADAKUMA, and Koh HOSODA. "Soft Robotics and Embodied Intelligence." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 29, no. 5 (2017): 160–72. http://dx.doi.org/10.3156/jsoft.29.5_160.

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Laschi, Cecilia. "Embodied Intelligence in soft robotics: joys and sorrows." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1757-899x/1261/1/012002.

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Abstract Embodied intelligence and soft robotics are strictly interconnected, as soft bodyware is key to obtain emergent behaviours from external interactions. The overall advantages of embodied intelligence in robotics are balanced by additional challenges in robot design and control. A main contribution of embodied intelligence to robotics consists of simplifying principles for robot control, in terms of control parameters. At the same time, robot design becomes more complex, involving the complex dynamic interaction of the robot with the environment and the task. These two form the ecologic

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Matsushita, Kojiro, Hiroshi Yokoi, and Tamio Arai. "Plastic-Bottle-Based Robots in Educational Robotics Courses – Understanding Embodied Artificial Intelligence –." Journal of Robotics and Mechatronics 19, no. 2 (2007): 212–22. http://dx.doi.org/10.20965/jrm.2007.p0212.

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In this paper, we introduce an educational robotics approach featuring a unique robotic development kit - hardware, software, and instructions - that concretely encourages student interest in and curiosity about science and technology. The kit was developed based on practical policies: easy construction, low cost, creative activity, and enjoyable education. It uses common materials such as plastic bottles, RC servomotors, and hot glue, and provides three different controllers with instructions - a sensor-motor controller, an electromyography (EMG) interface controller, and a teaching-playback

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Crembil, Gustavo, and Paula Gaetano Adi. "Mestizo Robotics." Leonardo 50, no. 2 (2017): 132–37. http://dx.doi.org/10.1162/leon_a_01150.

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With a cultural and material “cannibalistic” approach, the authors aim to revise certain technological discourses by introducing TZ’IJK, a “mestizo” robotic artwork developed in the Peruvian Amazon. Far from the utopian visions of Hollywood sci-fi movies populated by highly intelligent, anthropomorphic and responsive machines, TZ’IJK employs a combination of high and low technologies that embody Latin America’s anthropophagic, postcolonial and hybrid nature. Mestizo Robotics proposes an alternative approach to the development of embodied artificial life forms, from both theoretical and technol

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Hiraga, Motoaki, Daichi Morimoto, Yoshiaki Katada, and Kazuhiro Ohkura. "When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication." Journal of Robotics and Mechatronics 35, no. 4 (2023): 988–96. http://dx.doi.org/10.20965/jrm.2023.p0988.

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Embodied evolution is an evolutionary robotics approach that implements an evolutionary algorithm over a population of robots and evolves while the robots perform their tasks. In embodied evolution, robots send and receive genomes from their neighbors and generate an offspring genome from the exchanged genomes. This study focused on the effects of the communication range for exchanging genomes on the evolvability of embodied evolution. Experiments were conducted using computer simulations, where robot controllers were evolved during a two-target navigation task. The results of the experiments

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Mahdavi, Siavash Haroun, and Peter J. Bentley. "Innately adaptive robotics through embodied evolution." Autonomous Robots 20, no. 2 (2006): 149–63. http://dx.doi.org/10.1007/s10514-006-5941-6.

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Germann, P. Daniel, Wolfgang Schatz, and Hotz Peter Eggenberger. "Artificial Bivalves – The Biomimetics of Underwater Burrowing." Procedia Computer Science 7 (January 1, 2011): 169–72. https://doi.org/10.5281/zenodo.1216950.

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Biomimetics is a fruitful combination of biology and engineering, leading not only to technological innovations but also new insights into biological questions. In this ongoing project, embodied artificial intelligence (embodied AI), artificial evolution and palaeontology are combined to investigate the functional morphology of bivalves. This cross-fertilization allows to expand biomimetics from current biological systems to the whole evolutionary history and to apply the synthetic approach common in embodied AI as a method to tackle open palaeontological questions. So far, a robotic platform

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Lara, Bruno, Dadai Astorga, Emmanuel Mendoza-Bock, Manuel Pardo, Esaú Escobar, and Alejandra Ciria. "Embodied Cognitive Robotics and the learning of sensorimotor schemes." Adaptive Behavior 26, no. 5 (2018): 225–38. http://dx.doi.org/10.1177/1059712318780679.

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Embodied Cognitive Robotics focuses its attention on the design of artificial agents capable of performing cognitive tasks autonomously. A central issue in this consists in studying process by which agents learn through interaction with their environment. Embodied Cognitive Robotics aims to implement models of cognitive processes coming from Cognitive Sciences. The guidelines in this research area are a direct response to the shortcomings of Classical Artificial Intelligence, where high-level tasks and behaviors were studied. This article describes the work carried out in the Cognitive Robotic

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Mainzer, Klaus. "From embodied mind to embodied robotics: Humanities and system theoretical aspects." Journal of Physiology-Paris 103, no. 3-5 (2009): 296–304. http://dx.doi.org/10.1016/j.jphysparis.2009.08.012.

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Khetrapal, Neha. "Are Robots Autistic?" International Journal of Synthetic Emotions 1, no. 2 (2010): 53–60. http://dx.doi.org/10.4018/jse.2010070104.

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This paper discusses the implications of the embodied approach for understanding emotional processing in autism and the consequent application of this approach for robotics. In this pursuit, author contrasts the embodied approach with the traditional amodal approach in cognitive science and highlights the gaps in understanding. Other important issues on intentionality, intelligence and autonomy are also raised. The paper also advocates a better integration of disciplines for advancing the understanding of emotional processing in autism and deploying cognitive robotics for the purpose of develo

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Laschi, Cecilia. "Modeling embodied intelligence: can we capture its essence by modeling internal and external interactions?" IOP Conference Series: Materials Science and Engineering 1292, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1757-899x/1292/1/012001.

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Abstract In soft robotics, embodied intelligence leverages on the compliance of the physical body to let sensory-motor behaviour emerge from the interaction with the environment. Soft robot modeling often focuses on the effect of actuation on the deformable body. Can we model and describe mathematically the deformations of a soft robot body under external interaction forces? Would that capture the essence of embodied intelligence? We argue that addressing this challenge, in an interdisciplinary effort, would make embodied intelligence and soft robotics take a leap forward and transition from a

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Pham, Martin Do, Amedeo D’Angiulli, Maryam Mehri Dehnavi, and Robin Chhabra. "From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?" Brain Sciences 13, no. 9 (2023): 1316. http://dx.doi.org/10.3390/brainsci13091316.

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We examine the challenging “marriage” between computational efficiency and biological plausibility—A crucial node in the domain of spiking neural networks at the intersection of neuroscience, artificial intelligence, and robotics. Through a transdisciplinary review, we retrace the historical and most recent constraining influences that these parallel fields have exerted on descriptive analysis of the brain, construction of predictive brain models, and ultimately, the embodiment of neural networks in an enacted robotic agent. We study models of Spiking Neural Networks (SNN) as the central means

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Kureha, Makoto. "Philosophy of Embodied Mind and Intelligent Robotics." Journal of the Robotics Society of Japan 39, no. 1 (2021): 28–33. http://dx.doi.org/10.7210/jrsj.39.28.

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Hashem, Ryman, Weiliang Xu, and Fumiya Iida. "Bio-Inspired Robots Imitating Human Organs with Embodied Intelligence Behaviour." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012007. http://dx.doi.org/10.1088/1757-899x/1261/1/012007.

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Abstract Soft robotics is an emerging field that introduces promising engineering methods that replicate biological behaviours. Soft robotics aims to obtain a delicate interaction with their environment and be adaptable in different situations. Using the morphology and materials in robotics design is recognised as an embodied intelligence of the system. This method provides new ideas other than classic engineering strategies; it can translate biological behaviour into an engineering context. Embodied intelligence introduces potential ways to replicate human organs' motor activities with soft-b

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Aali, Taha Rehman, Hammad Adnan, and Dr Afaque Manzoor Soomro. "DEVELOPMENT OF MANTA RAY INSPIRED FISH ROBOT WITH EMBODIED SENSING FOR EFFICIENT UNDERWATER ENVIRONMENT MONITORING." American Journal of Engineering and Technology 06, no. 12 (2024): 24–43. https://doi.org/10.37547/tajet/volume06issue12-04.

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This study aims to design and develop a bio-inspired soft robotic fish for underwater environment monitoring. The ocean is vast, covering more than 70% of earth’s surface and largely unexplored frontier having diverse ecosystems and vital resources. Monitoring underwater environment is important for understanding marine life and studying impacts of climate change. While traditional robots such as AUVs are precise and durable but due to their bulky structure struggle in complex conditions in ocean. Due to disadvantages such as less adaptable and potentially harmful to marine ecosystem of hard r

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Botha, Catherine F. "Gender and Humanoid Robots: A Somaesthetic Analysis." Filosofia Theoretica: Journal of African Philosophy, Culture and Religions 10, no. 3 (2021): 119–30. http://dx.doi.org/10.4314/ft.v10i3.8.

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I discuss in this paper how robotic scientists tend to produce replicas of human bodies that are consistent with their own cultural norms by exploring how gender is embodied in humanoid robots. My focus is specifically on care robots, and their reception in the African context. I argue that since the bodies of the robotic scientists are the reference points according to which they design and manufacture robots, a somaesthetics of robotics can best reveal and challenge how gendered norms are materialised in these machines.

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Bugdayci, Irem, Anne-Heloise Dautel, Robert Wuss, and Ruairi Glynn. "Instruments of Vision." Proceedings of the ACM on Computer Graphics and Interactive Techniques 4, no. 2 (2021): 1–10. http://dx.doi.org/10.1145/3465618.

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In the age of ubiquitous visual technologies and systems, our perceptive apparatuses are constantly challenged, adapted, and shaped by instruments and machines, rendering the observing body as an active site of knowledge. Your Eye's Motion by Luna is an interactive installation that uses real-time eye-tracking to control a robotic creature named Luna (Figure 1). Materializing eye movements through a wondrous spectacle of light, motion, and color, the observer becomes conscious of her gaze enacted and extended by a robotic counterpart. Building on a diverse set of theories and understandings of

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Bhagat, Sarthak, Hritwick Banerjee, Zion Ho Tse, and Hongliang Ren. "Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges." Robotics 8, no. 1 (2019): 4. http://dx.doi.org/10.3390/robotics8010004.

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The increasing trend of studying the innate softness of robotic structures and amalgamating it with the benefits of the extensive developments in the field of embodied intelligence has led to the sprouting of a relatively new yet rewarding sphere of technology in intelligent soft robotics. The fusion of deep reinforcement algorithms with soft bio-inspired structures positively directs to a fruitful prospect of designing completely self-sufficient agents that are capable of learning from observations collected from their environment. For soft robotic structures possessing countless degrees of f

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Kuniyoshi, Yasuo, and Luc Berthouze. "Cognitive Robotics. Towards emergence of embodied interaction dynamics." Journal of the Robotics Society of Japan 17, no. 1 (1999): 29–33. http://dx.doi.org/10.7210/jrsj.17.29.

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Husbands, Phil, Yoonsik Shim, Michael Garvie, et al. "Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics." Applied Intelligence 51, no. 9 (2021): 6467–96. http://dx.doi.org/10.1007/s10489-021-02275-9.

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AbstractThis paper explores current developments in evolutionary and bio-inspired approaches to autonomous robotics, concentrating on research from our group at the University of Sussex. These developments are discussed in the context of advances in the wider fields of adaptive and evolutionary approaches to AI and robotics, focusing on the exploitation of embodied dynamics to create behaviour. Four case studies highlight various aspects of such exploitation. The first exploits the dynamical properties of a physical electronic substrate, demonstrating for the first time how component-level ana

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Carter, Aja, Wei-Hsi Chen, Shivangi Misra, and Cynthia Sung. "A Task-to-Intelligence Mapping: When is embodied intelligence worth designing?" IOP Conference Series: Materials Science and Engineering 1292, no. 1 (2023): 012003. http://dx.doi.org/10.1088/1757-899x/1292/1/012003.

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Abstract While there has been much work in the space of embodied intelligence, we as a field have struggled to define what exactly embodied intelligence is and how it should be used. In this paper, we propose that there are multiple types of embodied intelligence, and that these different types of embodied intelligence are suited to different types of tasks. We introduce a method for classifying tasks according to their objective and occurrence, and we describe how existing work in embodied intelligence fits into this framework. We hope that this proposed framework will initiate a discussion t

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Straub, Ilona. "Embodied Intelligence in Physical, Social and Technological Environments." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012024. http://dx.doi.org/10.1088/1757-899x/1261/1/012024.

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Abstract The aim of this contribution is to highlight different aspects of embodied intelligence that add to a broader interdisciplinary perspective on this phenomenon. This article intends to bring together three forms of embodied intelligence from the fields of technology and social research, starting from robotics research that deals with the technical replication of organic bodies, to insights from the sociology of the body outlining the relevance of corporeality in social encounters, and finally to the forms of embodied intelligence in the connection of technical forms with organic bodies

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Nygaard, Tønnes F., and Kyrre Glette. "Benefits and Challenges of Morphological Adaptation in Real-world Robots." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1757-899x/1261/1/012017.

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Abstract For many years, the main target of robotics research has been how to improve control and behavior to allow robots to solve more challenging tasks. Recently, the concept of embodied intelligence has shifted this focus from pure control to a more holistic approach. The mind, body, environment, and the interactions between all these are all highly important for the performance of a robot system. This has previously been investigated in virtual robots in simulation or very simple physical robots in the lab, but the benefits for more advanced and capable real-world robots are still to be d

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Ogawa, Jun. "Evolutionary Soft Robotics." Impact 2019, no. 10 (2019): 9–11. http://dx.doi.org/10.21820/23987073.2019.10.9.

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Soft robotics is a subfield of robots that deals with constructing robots from soft, elastic materials similar to those found in living organisms. These robots offer a particular set of advantages compared with conventional rigid robots. For example, in medicine they can be used in drug delivery and non-invasive surgical procedures, and be employed as assistive devices, prostheses or artificial organs. The field takes great inspiration from the way living organisms move and adapt to their surroundings, and the flexibility and adaptability of soft robots make them invaluable tools. Dr Jun Ogawa

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researcher. "ADAPTIVE MORPHOGENETIC FRAMEWORKS FOR SOFT ROBOTIC MANIPULATORS IN BIOLOGICALLY ACTIVE ENVIRONMENTS INTEGRATING BIO-INSPIRED CONTROL WITH DYNAMIC STRUCTURAL RECONFIGURATION." International Journal of Robotics and Process Automation (IJRPA) 6, no. 1 (2025): 1–6. https://doi.org/10.5281/zenodo.15182069.

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<em>This study explores an integrative morphogenetic framework that enables soft robotic manipulators to adaptively respond to dynamic and biologically active environments. Inspired by developmental biology and embodied intelligence, the research aims to unify structural flexibility with decentralized, bio-inspired control mechanisms. By synthesizing prior advancements in morphogenetic robotics and bio-mimetic actuation, we propose a responsive architecture capable of dynamic reconfiguration and environmental interaction. Applications range from targeted drug delivery to environmental sensing

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Hooijmans, Marti, and Fred Keijzer. "Robotics, biological grounding and the Fregean tradition." Mechanicism and Autonomy: What Can Robotics Teach Us About Human Cognition and Action? 15, no. 3 (2007): 515–46. http://dx.doi.org/10.1075/pc.15.3.08hoo.

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Dynamic, embodied and situated cognition set up organism-environment interaction — agency for short — as the core of cognitive systems. Robotics became an important way to study this behavioral kernel of cognition. In this paper, we discuss the implications of what we call the biological grounding problem for robotic studies: Natural and artificial agents are hugely different and it will be necessary to articulate what must be replicated by artificial agents such as robots. Interestingly, once this issue is explicitly raised, it seems that a full replication of biological features is required

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Chernova, Sonia, Zachary Dodds, Mike Stilman, Dave Touretzky, and Andrea L. Thomaz. "The AAAI 2011 Robot Exhibition." AI Magazine 33, no. 1 (2012): 43–50. http://dx.doi.org/10.1609/aimag.v33i1.2398.

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In this article we report on the exhibits and challenges shown at the AAAI 2011 Robotics Program in San Francisco. The event included a broad demonstration of innovative research at the intersection of robotics and artificial intelligence. Through these multi-year challenge events, our goal has been to focus the research community’s energy toward common platforms and common problems to work toward the greater goal of embodied AI.

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RADUTNYI, O. "Criminal liability of artificial intelligence." INFORMATION AND LAW, no. 2(21) (June 30, 2017): 124–32. http://dx.doi.org/10.37750/2616-6798.2017.2(21).273064.

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The article deals with the influence of robotics objects on the life of modern mankind, the possibility of creating an artificial intellect equal to the human intellect or exceeding its level, the possibilities and reasonability of the recognition of artificial intelligence physically embodied in the robotics object as the object and (or) the subject of criminal legal relations, the relationship between information security and artificial intelligence research and its results.

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Xefteris, Stefanos, and George Palaigeorgiou. "Mixing Educational Robotics, Tangibles and Mixed Reality Environments for the Interdisciplinary Learning of Geography and History." International Journal of Engineering Pedagogy (iJEP) 9, no. 2 (2019): 82. http://dx.doi.org/10.3991/ijep.v9i2.9950.

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In the present study we present a mixed reality learning environment that aims to become a creative, joyful and efficient interdisciplinary canvas for learning about history and geography and for concurrently fostering computational thinking. The environment makes use of embodied affordances and educational robotics and consists of two parts: an augmented 3D-tangible model of southern Europe with finger-based interaction and a second floor-based augmented robotics track de-picting European landmarks, where students are asked to perform tasks with Mindstorms EV3 robots. The game scenario descri

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Ochieze, Chukwuemeka, Zhen Liu, and Ye Sun. "Distributed Sensing Enabled Embodied Intelligence for Soft Finger Manipulation." Actuators 14, no. 7 (2025): 348. https://doi.org/10.3390/act14070348.

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Soft continuum robots are constructed from soft and compliant materials and can provide high flexibility and adaptability to various applications. They have theoretically infinite degrees of freedom (DOFs) and can generate highly nonlinear behaviors, which leads to challenges in accurately modeling and controlling their deformation, compliance, and behaviors. Inspired by animals, embodied intelligence utilizes physical bodies as an intelligent resource for information processing and task completion and offloads the computational cost of central control, which provides a unique approach to unde

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Pransky, Joanne. "The Pransky interview: Dr Maja Matarić, Professor, University of Southern California; Pioneer, field of socially assistive robotics; co-founder of Embodied." Industrial Robot: the international journal of robotics research and application 46, no. 3 (2019): 332–36. http://dx.doi.org/10.1108/ir-04-2019-0069.

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Purpose The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and innovator regarding her pioneering efforts and the challenges of bringing a technological invention to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Maja Matarić, Chan Soon-Shiong Distinguished Professor in the Computer Science Department, Neuroscience Program, and the Department of Pediatrics at the University o

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Kuske, Nicolas, and Florian Roehrbein. "Habit-inspired methods for embodied intelligence." IOP Conference Series: Materials Science and Engineering 1321, no. 1 (2024): 012002. https://doi.org/10.1088/1757-899x/1321/1/012002.

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Abstract Algorithms that employ habitual processing may be characterized as context-contingent input-output pairings. They learn to relate recurring patterns with swift and effective responses, relying on minimal computational resources. While habits have been extensively researched in the fields of psychology, cognition, and neuroscience, they have yet to be systematically investigated in computer science. Data volumes are expanding at an exponential rate, and there is often a requirement for this data to be processed in real-time. Against this backdrop, principles of habitual cognition prese

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Han, Ziyao, Fan Yi, and Kazuhiro Ohkura. "Collective Transport Behavior in a Robotic Swarm with Hierarchical Imitation Learning." Journal of Robotics and Mechatronics 36, no. 3 (2024): 538–45. http://dx.doi.org/10.20965/jrm.2024.p0538.

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Swarm robotics is the study of how a large number of relatively simple physically embodied robots can be designed such that a desired collective behavior emerges from local interactions. Furthermore, reinforcement learning (RL) is a promising approach for training robotic swarm controllers. However, the conventional RL approach suffers from the sparse reward problem in some complex tasks, such as key-to-door tasks. In this study, we applied hierarchical imitation learning to train a robotic swarm to address a key-to-door transport task with sparse rewards. The results demonstrate that the prop

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Hadi Sadati, S. M., Marwa ElDiwiny, Surya Nurzaman, Fumiya Iida, and Thrishantha Nanayakkara. "Embodied Intelligence & Morphological Computation in Soft Robotics Community: Collaborations, Coordination, and Perspective." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1757-899x/1261/1/012005.

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Abstract The agile nature of physical interactions in animal and plant species has inspired many recent advances in robotics and their control frameworks. However, they still face challenges in interaction with ever-changing unconstructured world that we live in. Intelligence is one of nature’s survival solutions for biological creatures to adapt to and reshape their surroundings. Our robots are no different in these remits. An important key to their survival and effectiveness in the natural world is the concept of Artificial Intelligence (AI). In this chapter we provide a brief overview of th

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Riek, Laurel D. "Embodied Computation: An Active-Learning Approach to Mobile Robotics Education." IEEE Transactions on Education 56, no. 1 (2013): 67–72. http://dx.doi.org/10.1109/te.2012.2221716.

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Eaton, Malachy, and J. J. Collins. "Artificial life and embodied robotics: current issues and future challenges." Artificial Life and Robotics 13, no. 2 (2009): 406–9. http://dx.doi.org/10.1007/s10015-008-0596-3.

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Feingold-Polak, Ronit, Avital Elishay, Yonat Shahar, Maayan Stein, Yael Edan, and Shelly Levy-Tzedek. "Differences between young and old users when interacting with a humanoid robot: a qualitative usability study." Paladyn, Journal of Behavioral Robotics 9, no. 1 (2018): 183–92. http://dx.doi.org/10.1515/pjbr-2018-0013.

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Abstract With the aging of the population worldwide, humanoid robots are being used with an older population, e.g., stroke patients and people with dementia. There is a growing body of knowledge on how people interact with robots, but limited information on the difference between young and old adults in their preferences when interacting with humanoid robots and what factors influence these preferences.We developed a gamified robotic platform of a cognitive-motor task.We conducted two experiments with the following aims: to test how age, location of touch interaction (touching the robot’s tabl

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He, Liang, and Perla Maiolino. "Embodied Active Tactile Perception." IOP Conference Series: Materials Science and Engineering 1292, no. 1 (2023): 012007. http://dx.doi.org/10.1088/1757-899x/1292/1/012007.

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Abstract Tactile perception plays an important role in an agent safely interacting with the environment while acquiring information about it. Bio-inspired robotics opens up possibilities for a new paradigm leveraging the morphology of the body, which filters the tactile information in physical interactions and enables investigations of new designs for embodied active tactile perception. The subjects of morphology embodied active perception and motor embodied active perception is defined and discussed in this chapter. In the scope of morphology embodied active perception, sensor optimization an

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Vallis, Owen, Dimitri Diakopoulos, Jordan Hochenbaum, and Ajay Kapur. "Building on the Foundations of Network Music: Exploring interaction contexts and shared robotic instruments." Organised Sound 17, no. 1 (2012): 62–72. http://dx.doi.org/10.1017/s1355771811000525.

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Historically, network music has explored the practice and theory of interconnectivity, utilising the network itself as a creative instrument. The Machine Orchestra (TMO) has extended this historical idea by developing the custom software suite Signal, and creating a shared, social instrument consisting of musical robotics. Signal is a framework for musical synchronisation and data sharing, designed to support the use of musical robotics in an attempt to more fully address ideas of interconnectivity and embodied performance. Signal, in combination with musical robotics, also facilitates the exp

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Wu, Jialan. "The Prospect of Embodied Intelligence and the Opportunities Brought by Large Models." Applied and Computational Engineering 145, no. 1 (2025): 37–42. https://doi.org/10.54254/2755-2721/2025.21923.

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There is an emerging trend transitioning from conventional intelligent artificial systems to embodied intelligence, which represents a systematic function integrated with a physical carrier. Unlike the previously abstract AI, embodied intelligence leverages theories and technologies from artificial intelligence, robotics, mechanical manufacturing, and design. It accomplishes specific tasks through interactions with the real world, thereby exerting a direct or indirect influence on the physical environment. New technology like Open AI Sora has marked a closer step for AGI (Artificial General In

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Dodds, Zachary. "Can Quadrotors Succeed as an Educational Platform?" Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 1870–71. http://dx.doi.org/10.1609/aaai.v25i1.7995.

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The flexibility and controllability of quadrotor helicopters have made them a recent focus of interest among robotics and AI research groups. At the same time, their popularity has led to a wide range of commercially available platforms, some at prices accessible for undergraduate educational use. This project evaluates the ARDrone quadrotor helicopter as a basis for use in undergraduate classes such as robotics, computer vision, or embodied AI. We have encountered both successes and frustrations in using the ARDrone to date. Looking forward, the quadrotor’s capabilities do seem a promising ba

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LEMBURG, JOHANNES, and FRANK KIRCHNER. "CONCEPTUAL AND EMBODIMENT DESIGN OF ROBOTIC PROTOTYPES." International Journal of Humanoid Robotics 08, no. 03 (2011): 419–37. http://dx.doi.org/10.1142/s0219843611002526.

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Main advances in artificial intelligence robotics are algorithms, embodied in software on the level of application software. Low-level hardware programming, electronic, and mechanics are the necessary basis to enable the implementation of newly developed algorithms. Complex autonomous systems are challenged by the tasks that require fast reactions, resulting in high accelerations and forces. These systems, therefore, generally need low masses, stiff limbs, and a precise control. To boost AI-research, more robotic systems that are appropriate to specific research questions are needed. Mechanica

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Sun, Jianghao, Pengjun Mao, Lingju Kong, and Jun Wang. "A Review of Embodied Grasping." Sensors 25, no. 3 (2025): 852. https://doi.org/10.3390/s25030852.

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Pre-trained models trained with internet-scale data have achieved significant improvements in perception, interaction, and reasoning. Using them as the basis of embodied grasping methods has greatly promoted the development of robotics applications. In this paper, we provide a comprehensive review of the latest developments in this field. First, we summarize the embodied foundations, including cutting-edge embodied robots, simulation platforms, publicly available datasets, and data acquisition methods, to fully understand the research focus. Then, the embodied algorithms are introduced, starti

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Pfeifer, Rolf, Fumiya Iida, and Josh Bongard. "New Robotics: Design Principles for Intelligent Systems." Artificial Life 11, no. 1-2 (2005): 99–120. http://dx.doi.org/10.1162/1064546053279017.

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New robotics is an approach to robotics that, in contrast to traditional robotics, employs ideas and principles from biology. While in the traditional approach there are generally accepted methods (e.g., from control theory), designing agents in the new robotics approach is still largely considered an art. In recent years, we have been developing a set of heuristics, or design principles, that on the one hand capture theoretical insights about intelligent (adaptive) behavior, and on the other provide guidance in actually designing and building systems. In this article we provide an overview of

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Sato, Maki. "Between the Authentic and Artificial: From the Perspective of Contingency." IOP Conference Series: Materials Science and Engineering 1292, no. 1 (2023): 012023. http://dx.doi.org/10.1088/1757-899x/1292/1/012023.

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Abstract How to deal with a contingency? A contingent situation plays a vital role in challenges with uncertainty and unpredictability. This is because contingency requires the subject to be adaptive and flexible in the given condition. Regarding the development of robotics, soft robotics is highly anticipated to be more adaptable and flexible to contingency with its bodily inputs. In contrast, material-wise, conventional hard robotics may fit more for fixed, stable, static, or predictable situations. The latest development in new materials has opened a window for more usable and useful artifi

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Blanciak, François. "The Face of Another: Isozaki, Deme, and the Postmodern Turn." October, no. 179 (2022): 78–94. http://dx.doi.org/10.1162/octo_a_00448.

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Abstract Focusing on the early work and collaborations of the Japanese architect Arata Isozaki, this paper researches links between the robotic culture of postwar Japan and the surge of figuration in postmodernism, challenging the commonly held view that this architectural movement emerged in the West. Specifically, the paper looks at how Isozaki's robotic creation for Expo '70 embodied the notion of theatrical mask, which characterized both postmodern ideals and early Japanese robotics, and influenced his own architectural work. Delving into Isozaki's creative exchanges with the film director

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Li, Zitian. "Application of Large Language Models in Embodied Artificial Intelligence." Transactions on Computer Science and Intelligent Systems Research 7 (November 25, 2024): 119–25. https://doi.org/10.62051/05k91t81.

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The convergence of Artificial Intelligence (AI) and robotics has led to the emergence of embodied AI, where intelligent systems equipped with sensors and actuators interact with the physical world and operate alongside humans. These systems are transforming industries such as autonomous driving, healthcare, and household assistance. However, despite extensive research, embodied AI systems face significant limitations, including poor generalization and performance degradation in complex environments, hindering their commercialization. Recent developments in Large Language Models (LLMs) present

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