Results 121 to 130 of about 1,582,815 (295)

Vision Transformers for Computer Go

Motivated by the success of transformers in various fields, such as language understanding and image analysis, this investigation explores their application in the context of the game of Go. In particular, our study focuses on the analysis of the Transformer in Vision.
Sagri, Amani, Cazenave, Tristan, Arjonilla, Jérôme, Saffidine, Abdallah   +3 more
openaire   +4 more sources

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Vision Transformer untuk Klasifikasi Kematangan Pisang

Jurnal Teknologi Informasi dan Ilmu Komputer
Produksi pisang di Indonesia pada tahun 2022 mencapai 9,6 juta ton buah. Metode konvensional yang digunakan untuk menentukan tingkat kematangan pisang masih mengandalkan indera penglihatan manusia dengan memperhatikan perubahan warna kulit pisang. Namun,
Arya Pangestu, Bedy Purnama, Risnandar Risnandar   +2 more
doaj   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

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

Advanced 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

Vision Bridge Transformer at Scale

We introduce Vision Bridge Transformer (ViBT), a large-scale instantiation of Brownian Bridge Models designed for conditional generation. Unlike traditional diffusion models that transform noise into data, Bridge Models directly model the trajectory between inputs and outputs, creating an efficient data-to-data translation paradigm.
Zhenxiong Tan, Zeqing Wang, Xingyi Yang, Songhua Liu, Xinchao Wang   +4 more
openaire   +2 more sources

Blending Anti-Aliasing into Vision Transformer

, 2021
The transformer architectures, based on self-attention mechanism and convolution-free design, recently found superior performance and booming applications in computer vision.
Shao, Hao, Zhu, Yi, Li, Mu, Qian, Shengju, Jia, Jiaya   +4 more
core  

Molecular Appendix Adjusted Architectural Propagations of Red‐Light Controlled Macroscopic Photoactuating Performances

Advanced Robotics Research, EarlyView.
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng, Ming‐Hin Chau, Takashi Kajitani, Franco King‐Chi Leung   +3 more
wiley   +1 more source

MulT: An End-to-End Multitask Learning Transformer

We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmentation, reshading, surface normal estimation, 2D keypoint detection, and ...
Bhattacharjee, Deblina, Salzmann, Mathieu, Suesstrunk, Sabine, Zhang, Tong   +3 more
core   +1 more source

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