Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao +3 more
wiley +1 more source
Adaptations in wing morphology rather than wingbeat kinematics enable flight in small hoverfly species. [PDF]
Le Roy C +3 more
europepmc +1 more source
TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong +5 more
wiley +1 more source
Extended Dynamic Model for the UR16e 6-Degree-of-Freedom Robotic Manipulator. [PDF]
Kern J, Donoso L, Urrea C, González G.
europepmc +1 more source
This paper introduces an origami‐inspired, lightweight, reconfigurable instrument for robot‐assisted minimally invasive surgery. Its foldable design enables tiny access, tunable compliance, and multifunctionality, serving as a tool introducer or deformable grasper that safely manipulates delicate bowel tissue.
Lorenzo Mocellin +5 more
wiley +1 more source
Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics. [PDF]
Hossain MSB +6 more
europepmc +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Neuromechanical gait signatures reveal holistic biomechanical responses to walking speed modulation in stroke survivors. [PDF]
Rosenberg MC +4 more
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Whole-body optical marker and ground reaction force data of healthy humans performing non-cyclic activities. [PDF]
Alizadeh Noghani M +2 more
europepmc +1 more source

