Results 161 to 170 of about 319,477 (294)
Two-stage scheduling optimization model for taxiways on the basis of time slot derivation. [PDF]
Tang J, Zhang Q, Lian G, Wen T.
europepmc +1 more source
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
IM-NSGAII: A novel approach to boost convergence speed and population diversity in multi-objective optimization. [PDF]
Jiang W, Xie Z.
europepmc +1 more source
Mathematical Model For Optimizing The Active Control of Traffic Signals Parameters
Samara Soares Leal, Paulo E. M. Almeida
openalex +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
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 +5 more
wiley +1 more source
Analytical study of mode filtering in a duct with resistive layers. [PDF]
Alahmadi H, Afzal M, Javeed U, Nawaz T.
europepmc +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
Research on energy-saving algorithm of HVAC multi-agent system consensus based on event-triggered mechanism. [PDF]
Wu W, Shi S, Lin M, Gong H, Li J.
europepmc +1 more source
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 +8 more
wiley +1 more source
Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics. [PDF]
Zhu W +7 more
europepmc +1 more source

