Studies from Fuzhou University Update Current Data on Robotics (Optimal Visual C ontrol of Tendon-sheath-driven Continuum Robots With Robust Jacobian Estimation In Confined Environments)
Studies from Fuzhou University Update Current Data on Robotics (Optimal Visual C ontrol of Tendon-sheath-driven Continuum Robots With Robust Jacobian Estimation In Confined Environments)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reportingoriginating from Fuzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Accuratecontrol of continuum robots in confined environments presents a significant challenge due to theneed for a precise kinematic model, which is susceptible to external inte rference. This paper introducesa model- less optimal visual control (MLOVC) met hod that enables a tendon-sheath-driven continuumrobot (TSDCR) to effectively t rack visual targets in a confined environment while ensuring stability.”
Key words
Fuzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Fuzhou U niversity
NETL
NSTL