Results 211 to 220 of about 265,532 (259)

Micro-offline gains do not reflect offline learning during early motor skill acquisition in humans. [PDF]

open access: yesProc Natl Acad Sci U S A
Das A   +4 more
europepmc   +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

Magnetic Field Driven Microrobot Based on Hydrogels

open access: yesAdvanced Robotics Research, EarlyView.
Hydrogel‐based magnetic microrobots synergize remote magnetic control with the biocompatibility of flexible hydrogels, emerging as promising tools for minimally invasive biomedicine. This enables remotely controllable, untethered navigation within complex biological microenvironments.
Juncai Song, Yubing Guo
wiley   +1 more source

Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden-Popper Perovskite for Neuromorphic Vision. [PDF]

open access: yesACS Appl Mater Interfaces
Chen CY   +7 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

TreeSpider: In‐Canopy Exploration With Tether‐Based Aerial Modular Arms

open access: yesAdvanced Robotics Research, EarlyView.
A tethered drone with perching arms and a 360° ring enables unprecedented maneuverability within dense forest canopies. By dynamically adjusting tether length and decoupling pitch from the frame, it navigates between branches, senses multiple trees, and interacts physically with foliage.
Luca Romanello   +7 more
wiley   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan   +14 more
wiley   +1 more source

Home - About - Disclaimer - Privacy