Results 181 to 190 of about 4,851,124 (376)

Strong Plasmon–Exciton Coupling Tuned by Corner Etching of Gold Nanocubes and Nanotriangles

Advanced Optical Materials, EarlyView.
Systematic etching of gold nanocubes (AuNCs) and nanotriangles (AuNTs) reveals how nanoparticle morphology governs plasmon–exciton strong coupling. While rounding the corners of AuNCs weakens their coupling, triangular geometries robustly preserve deep strong coupling.
Jiyeon Lee, Seoyoung Hwang, Yoon‐Min Lee, Jeong‐Eun Park, Sangwoon Yoon   +4 more
wiley   +1 more source

34. Mathematical morphology for efficacy in the treatment of evaluation of therapeutic osteoporosis

, 1999
Takahiko Matsuki, Hiroshi Baba, Masao Morikawa   +2 more
openalex   +2 more sources

mathematical morphology [PDF]

, 2011
openaire   +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

Gap Measurement of Point Machine Using Adaptive Wavelet Threshold and Mathematical Morphology. [PDF]

Sensors (Basel), 2016
Xu T, Wang G, Wang H, Yuan T, Zhong Z.
europepmc   +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

Self-adaptive rail edge detection for trams based on mathematical morphology. [PDF]

Sci Prog
He S, Shen L, Zhou Z, Gao A, Wu X.
europepmc   +1 more source

Analysis-preserving video microscopy compression via correlation and mathematical morphology. [PDF]

Microsc Res Tech, 2015
Shao C, Zhong A, Cribb J, Osborne LD, O'Brien ET, Superfine R, Mayer-Patel K, Taylor RM.   +7 more
europepmc   +1 more source

Computer Graphics. Three-Dimensional Metamorphosis by using Mathematical Morphology.

, 2002
Yuji Teshima, Ken‐ichi Kobori
openalex   +2 more sources

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source