25 papers · ranked by Valyu relevance
Ruiqi Wu, Changle Zhou, Fei Chao, Zuyuan Zhu + 2 more
'Longzhi Yang'] Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are implied in the goals of a series of game tasks. The…
J. Law, P. Shaw, K. Earland, M. Sheldon + 1 more
A major challenge in robotics is the ability to learn, from novel experiences, new behavior that is useful for achieving new goals and skills. Autonomous systems must be able to learn solely through the environment, thus ruling out a priori task knowledge, tuning, extensive training, or other forms of pre-programming.…
Martín Naya-Varela, Andrés Faíña, Richard J. Duro
— Morphological development is part of the way any human or animal learns. The learning processes starts with the morphology at birth and progresses through changing morphologies until adulthood is reached. Biologically, this seems to facilitate learning and make it more robust. However, when this approach is…
Fabien Lagriffoul
This article reports on the early stages of conception of a robotic control system based on Piaget's schemas theory. Beyond some initial experimental results, we question the scientific method used in developmental robotics (DevRob) and argue that it is premature to abstract away the functional architecture of the…
Fabien Benureau, Jun Tani
Evolution and development operate at different timescales; generations for the one, a lifetime for the other. These two processes, the basis of much of life on earth, interact in many non-trivial ways, but their temporal hierarchy—evolution overarching development—is observed for most multicellular lifeforms. When…
Hélène Cochet, Michèle Guidetti
Children exchange information through multiple modalities, including verbal communication, gestures and social gaze and they gradually learn to plan their behavior and coordinate successfully with their partners. The development of joint attention and joint action, especially in the context of social play, provides…
Solveig Flatebø, Vi Ngoc-Nha Tran, Catharina Elisabeth Arfwedson Wang, Lars Ailo Bongo + 1 more
'Lars Ailo Bongo' 'Simone Varrasi'] There is currently no systematic review of the growing body of literature on using social robots in early developmental research. Designing appropriate methods for early childhood research is crucial for broadening our understanding of young children’s social and cognitive…
Irina Rudenko, Andrey Rudenko, Achim J. Lilienthal, Kai O. Arras + 1 more
Developmental Stage and Individual Characteristics Authors: ['Irina Rudenko' 'Andrey Rudenko' 'Achim J. Lilienthal' 'Kai O. Arras' 'Barbara Bruno'] Abstract Social robots, owing to their embodied physical presence in human spaces and the ability to directly interact with the users and their environment, have a great…
Taisuke Nagae, Jaeryoung Lee, Víctor Fernando Muñoz Martínez
Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot out of the subject’s sight. In this paper, robot therapy using a…
John‐John Cabibihan, Hifza Javed, Marcelo H. Ang, Sharifah Mariam Aljunied
'Sharifah Mariam Aljunied'] This paper reviews the use of socially interactive robots to assist in the therapy of children with autism. The extent to which the robots were successful in helping the children in their social, emotional, and communication deficits was investigated. Child-robot interactions were…
Christine Ho, Fokion Glykofrydis, Gaveen Godage, Kyle Poon + 4 more
Robotics draws inspiration from biology, particularly animal locomotion based on muscle-driven contractions. While traditional engineering assembles components sequentially, locomotive animals are built via self-organized developmental programs. Stem cells, under the right conditions, can mimic these processes in…
Nicklas Lind, Nilan Paramarajah, Timothy Merritt
Socialization is an essential development skill for preschool children. In collaboration with the LEGO Group, we developed Robert Robot, a simplified robot which enables socialization between children and facilitates shared experiences when meeting for the first time. An exploratory study to observe socialization…
Boris Crnokic, Miroslav Grubisic, Tomislav Volarić
This paper presents different possibilities of using mobile robots in education. Through the application of mobile mechatronic robotic system "Robotino" this paper shows the possibilities of developing interactive lectures and exercises in order to raise the quality of education and to provide new competencies for…
Haleh Fotowat, Laurie O’Neill, Léo Pio-Lopez, Megan Sperry + 3 more
A great deal is known about the formation and architecture of biological neural networks in animal models, which have arrived at their current structure-function relationship through evolution by natural selection. Little is known about the development of such structure-function relationships in a scenario where…
Floris Erich, Masakazu Hirokawa, Kenji Suzuki
— We perform a Systematic Literature Review to discover how Humanoid robots are being applied in Socially Assistive Robotics experiments. Our search returned 24 papers, from which 16 were included for closer analysis. To do this analysis we used a conceptual framework inspired by Behaviorbased Robotics. We were…
Humphrey Yang, Avery S. Williamson, Ji Min Seok, Daniel Ranke + 7 more
Muscle-based biohybrid systems integrate living muscle with engineered structures to create soft robots, biological models, and regenerative platforms. However, current actuators often lack strength and are difficult to assemble into complex devices. This study presents a suspended compliant skeleton that enhances…
Leonie Dyck, Aiko Galetzka, Maximilian Noller, Anna-Lena Rinke + 16 more
Leonie Dyck 1 , Aiko Galetzka 1 , Maximilian Noller 1 , Anna-Lena Rinke 1 , Jutta Bormann 2 , Jekaterina Miller 2 , Michelle Hochbaum 2 , Julia Siemann 2 , Jordis ¨ Alboth 2 , Andre Berwinkel 2 , Johanna Luz 2 , Britta Kley-Zobel 3 , Marcine Cyrys 3 , Nora Flottmann ¨ 2 , Ariane Vogeler 2 , Mariia Melnikova 2 …
Eric Leonardis, Leo Breston, Rhiannon Lucero-Moore, Leigh Sena + 6 more
Interactive neurorobotics is a subfield which characterizes brain responses evoked during interaction with a robot, and their relationship with the behavioral responses. Gathering rich neural and behavioral data from humans or animals responding to agents can act as a scaffold for the design process of future social…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Claudio C. S. de Freitas, Camden Hanzlick-Burton, Miroslav Nestorovic, Jennifer DeBoer + 2 more
The use of robots to help teachers to engage students in STEM subjects has been increasing in recent years, and much progress has been made in K12 schools to incorporate robots in the pedagogy. Recent studies indicate that robots can play a significant role to engage students in neuroscience subjects, but little is…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Rachel L. Hawe, Alexandria N. Richardson, T. Lu
The development of upper limb movements has been primarily described through reaching movements, which may not have the complex motor planning and execution demands of many daily tasks. In this study, we introduced a complex task in which individuals had to navigate their hand from a start target through two openings…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Jongmin M. Lee, Temesgen Gebrekristos, Dalia De Santis, Mahdieh Nejati-Javaremi + 4 more
Learning to perform everyday tasks, using a complex robot, presents a nested problem. It is nested, because, on the surface, there is a problem of robot control—but within it, there lies a deeper, more challenging problem that demands the control nuances necessary to perform complicated functional tasks. For…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…