Results 71 to 80 of about 248,068 (279)

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

open access: yesAdvanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao   +3 more
wiley   +1 more source

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

A brief measure to predict exercise behavior: the Archer-Garcia Ratio

open access: yesHeliyon, 2017
Background: Different forms of conscious and planned physical exercise and activity that individuals perform improve not only physical but also psychological health, well-being, and both physical and intellectual performance. Here we put forward and test
Danilo Garcia   +2 more
doaj   +1 more source

Liquid Metal Sensors for Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang   +7 more
wiley   +1 more source

The Irrelevant Sound Effect: Testing the Psychological Effects of Sequence Predictability

open access: yesAtti della Accademia Peloritana dei Pericolanti - Classe di Scienze Medico-Biologiche, 2018
We tested the hypothesis that expectancy-violation is key to understanding those conditions under which instrumental music disrupts immediate serial-recall.
Alessandro Antonietti   +6 more
doaj   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

open access: yesAdvanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj   +2 more
wiley   +1 more source

The Perception of Emerging Cattle Farmers on Extension and Advisory Services in Improving the Welfare of Cattle in Sinthumule-Kutama Areas of Makhado Municipality, Vhembe District, Limpopo Province, South Africa

open access: yesAgriHealth
Livestock farmers in the Limpopo Province benefitted from the land reform projects. This led to an increase in the number of emerging cattle farmers who desired to move from small-scale to commercial cattle farming. These emerging cattle farmers had high
Muano Thornado   +2 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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