Results 131 to 140 of about 272,275 (266)

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

Advanced 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

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

Advanced 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, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source

Joint optimization of transmission and edge offloading for energy-aware point cloud video streaming

Tongxin xuebao
The transmission of point cloud video streaming requires the scheduling of various computing and transmission resources. Existing research rarely considers the energy consumption issues caused by the computing tasks of terminal display devices.
LIU Wei, ZHU Yule, FU Chen, WANG Xi
doaj   +2 more sources

Edible Pouch Motors

Advanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi, Kazuma Takai, Ryuma Niiyama, Jun Shintake   +3 more
wiley   +1 more source

Evaluating the impact of video-based versus traditional lectures on student learning

, 2010
Copyright ©2010 International Research Journals. This full-text open access article is available at the link below.Although, computer assisted learning and multimedia programs have emerged into higher education institutions, there is no clear evidence ...
Nikopoulou-Smyrni, P, Nikopoulos, C
core  

NEW shared & interconnected ASL resources: SignStream® 3 Software; DAI 2 for web access to linguistically annotated video corpora; and a sign bank [PDF]

, 2018
2017 marked the release of a new version of SignStream® software, designed to facilitate linguistic analysis of ASL video. SignStream® provides an intuitive interface for labeling and time-aligning manual and non-manual components of the signing. Version
Dimitriadis, Gregory, Neidle, Carol, Metaxas, Dimitris, Opoku, Augustine   +3 more
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Network governance work: evidence from the video game industry [PDF]

Many call for research invites for further investigation of the underlying processes, practices and specificities of governance in the network context. Through an examination of what governance involves and how does it occur in a French cluster of video ...
Chahira Mehouachi, Véronique Perret
core