Results 21 to 30 of about 237,381 (260)

Cognitive Robotics [PDF]

, 2022
The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural

core   +1 more source

Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms [PDF]

, 2022
The reinforcement and imitation learning paradigms have the potential to revolutionise robotics. Many successful developments have been reported in literature; however, these approaches have not been explored widely in robotics for construction.
Oyedele, Lukumon, Davila Delgado, Manuel
core   +1 more source

Sensor fusion for social robotics [PDF]

, 2013
31st International Symposium on Robotics (ISR2000) Palais des congrès, Montreal, Canada, May 14-17, 2000This paper advocates the application of sensor fusion for the visualisation of social robotic behaviour.
Rooney, Colm, Garcia, C., Duffy, Brian R., O'Hare, G. M. P. (Greg M. P.), O\u27Hare, G. M. P. (Greg M. P.)   +4 more
core   +1 more source

Process control of robotic tile laying based on position-based impedance and fuzzy-adaptive contact force control

Journal of Intelligent Construction
Construction robots have garnered attention with the rapid development of construction automation. Such tiling robots can effectively improve the construction quality and efficiency.
Huixing Zhou, Shun Wang, Chongwen Xu, Haoyu Li   +3 more
doaj   +1 more source

Industrial Robotics

, 2022
S.1385-1422Much of the technology that makes robots reliable, human friendly, and adaptable for numerous applications has emerged from manufacturers of industrial robots.
Bischoff, Rainer, Pires, J. Norberto, Hägele, Martin, Nilsson, Klas   +3 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Spatial Control of Light‐Responsive Proteins and Optogenetics Within Hydrogels via Volumetric Bioprinting

Advanced Materials, EarlyView.
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi, Pere Català, Gabriel Größbacher, Paulina Nuñez Bernal, Olaf Nijssen, Sammy Florczak, Wilco Nijenhuis, Nuria Crusellas‐Villorbina, Bram Nijhoff, Paul Delrot, Jos Malda, Andreas Hierholzer, Martin Fussenegger, Lukas C. Kapitein, Riccardo Levato   +14 more
wiley   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source