Results 241 to 250 of about 191,232 (328)

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

Words and Meters: Neural Evidence for a Connection Between Individual Differences in Statistical Learning and Rhythmic Ability in Infancy. [PDF]

Dev Sci
van der Wulp I, Struiksma Marijn M, Wijnen Frank F.   +2 more
europepmc   +1 more source

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

Advanced 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, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

SALT: Introducing a framework for hierarchical segmentations in medical imaging using label trees. [PDF]

Sci Rep
Becker SS, Baldini G, Schmidt CS, Pollok OB, Pelka O, Kohnke J, Borys K, Friedrich CM, Schaarschmidt BM, Forsting M, Umutlu L, Haubold J, Nensa F, Hosch R.   +13 more
europepmc   +1 more source

Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization

, 2014
Nobuhiro Kaji, Masaru Kitsuregawa
openalex   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Brand public opinion data analysis method based on deep learning. [PDF]

PLoS One
Li M, Chung W.
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

Further investigation of the impact of foveal and parafoveal word frequency on parafoveal preview during Chinese reading. [PDF]

PLoS One
Sun Y, Li S, Zhang Y, Wang J.
europepmc   +1 more source

Speaking rate from proximal and distal contexts is used during word segmentation.

, 2011
Eva Reinisch, Alexandra Jesse, James M. McQueen   +2 more
openalex   +2 more sources