Results 251 to 260 of about 625,873 (344)

Multitasking Smart Intestinal Capsule Robot: A Cutting‐Edge Platform for Sampling, Diagnosis, and Therapy

open access: yesAdvanced Robotics Research, EarlyView.
Gut microbiota and biomarkers are linked to diseases like neurological disorders and metabolic syndromes. Ingestible capsule robots enable minimally invasive gut health assessment. This article proposes a promising direction for the advancement of capsule robots, integrating in situ sampling, real‐time diagnostics, and personalized therapy.
Xizong Chen   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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

HE3 DIFFERENTIAL RACIAL AND ETHNIC DISPARITIES IN HEALTH EXPENDITURE AND SELF-PERCEIVED HEALTH STATUS IN THE UNITED STATES

open access: bronze, 2006
J Wang   +7 more
openalex   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

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