Results 191 to 200 of about 53,924 (297)

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Decoding non-coding SNPs: systems genomics modelling dissects the heterogeneity of IBD. [PDF]

Mol Syst Biol
Módos D, Thomas JP, Brooks-Warburton J, Poletti M, Bohar B, Liu Y, Madgwick M, Csabai L, Kang WX, Alexander-Dann B, Zoufir A, Sudhakar P, Cozzetto D, Fazekas D, Samarajiwa S, Carding SR, Powell N, Verstockt B, Bender A, Korcsmaros T.   +19 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

LazyNet: Interpretable ODE Modeling of Sparse CRISPR Single-Cell Screens Reveals New Biological Insights. [PDF]

Biology (Basel)
Yi Z, Ma N, Ao Y.
europepmc   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Fluctuation-learning relationship in recurrent neural networks. [PDF]

Nat Commun
Kurikawa T, Kaneko K.
europepmc   +1 more source

Adhoc Network Energy Efficient Networking in XOR and Random Linear Network Coding

, 2018
N. Thangamani
openalex   +1 more source

Enabling Real‐Time Shape‐Sensing in Soft Robots via a Miniaturized, Single‐Signal, Color‐Tuned Soft Optical Sensor

Advanced Robotics Research, EarlyView.
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise, Yitong Lu, Daniel Van Lewen, Riley Applebaum, Bianca Andrada, Johnathan Reamer, Sheila Russo   +6 more
wiley   +1 more source

Spatial coding dysfunction and network instability in the aging medial entorhinal cortex. [PDF]

Nat Commun
Herber CS, Pratt KJB, Shea JM, Villeda SA, Giocomo LM.   +4 more
europepmc   +1 more source

Exploiting sparse coding: A sliding window enhancement of a random linear network coding scheme

, 2016
Pablo Garrido, David Gómez, Jorge Lanza, Ramón Agüero   +3 more
openalex   +2 more sources