Results 181 to 190 of about 18,090,481 (292)
Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning. [PDF]
Bai L, Feng YW, Li N, Xue XF.
europepmc +1 more source
Toward Mechanical Intelligence in Robotics
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang +5 more
wiley +1 more source
Feedforward-feedback-enhanced model-free adaptive iterative learning control with measurement disturbance and data dropout for an autonomous bus trajectory tracking system. [PDF]
Liu S, Huang W, Ren Y, Wang L, Ji H.
europepmc +1 more source
Iterative learning control with applications in energy generation, lasers and health care. [PDF]
Rogers E, Tutty OR.
europepmc +1 more source
Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong +14 more
wiley +1 more source
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley +1 more source
Model Predictive Control for Magnetically Actuated Cellbots
Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah +8 more
wiley +1 more source
The convergence analysis of P-type iterative learning control with initial state error for some fractional system. [PDF]
Liu X, Li Y.
europepmc +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose
Soft robots need integrated touch and pose sensing for safe and reliable operation. This work presents a three‐fingered soft gripper with 18 micropneumatic sensors made from the same materials as its pneumatic actuators. By measuring airflow resistance changes in deforming microchannels of the sensors, finger pose and contact are detected, enabling ...
Vilma Lampinen +3 more
wiley +1 more source

