PairTilt: Design and Control of an Active Tilt‐Rotor Quadcopter for Improved Efficiency and Agility
PairTilt is an actuated tilt‐rotor unmanned aerial vehicle capable of active shape reconfiguration, balancing simplicity, efficiency, and agility. Its H‐shaped frame incorporates pairwise tiltable rotors, which reduce gyroscopic torque and decouple key dynamics, enhancing maneuverability and reducing drag.
Jerry Tang, Mark W. Mueller
wiley +1 more source
Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose+3 more
wiley +1 more source
Learning control-ready forecasters for Blood Glucose Management. [PDF]
Rubin-Falcone H, Lee JM, Wiens J.
europepmc +1 more source
A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases. [PDF]
Lee S, Lee W.
europepmc +1 more source
Patient knowledge in anaesthesia: Psychometric development of the RAKQ-The Rotterdam anaesthesia Knowledge questionnaire. [PDF]
van den Heuvel SF+8 more
europepmc +1 more source
A unidimensional short form of the Beck Hopelessness Scale (BHS-7) derived using item response theory. [PDF]
Pretorius TB, Padmanabhanunni A.
europepmc +1 more source
Synergy as the Failure of Distributivity. [PDF]
Sevostianov I, Feinerman O.
europepmc +1 more source
Implementing the time-to-event continual reassessment method in the presence of partial orders in a phase I head and neck cancer trial. [PDF]
Patel A+7 more
europepmc +1 more source
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Rule learning with monotonicity constraints
Proceedings of the 26th Annual International Conference on Machine Learning, 2009In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing the approach to learning with monotonicity constraints from statistical point of view.
W. Kotłowski, R. Słowiński
semanticscholar +3 more sources