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Ihr Team von Sack Fachmedien
Szczecinski / Webster-Wood / Tresch Biomimetic and Biohybrid Systems
Erscheinungsjahr 2024
ISBN: 978-3-031-72597-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings
E-Book, Englisch, 462 Seiten
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-72597-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This proceeding constitutes the 13th International Conference on Biomimetic and Biohybrid Systems, held in Chicago, IL, USA, during July 8–11, 2024.
The 27 full papers and 4 short papers were carefully reviewed and selected from 35 submissions. They were categorized under the following topics: Brain Network Modeling; Tools for Studying Behaviors; Sensors and Sensing, Navigational Systems; Control and Mechanics of Soft and Continuum Systems; System Design; Neural Networks for Computation; Bio Inspired Neural Networks for Control; Biohybrid Systems; and Biomechanics.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Brain Network Modeling .- BrainX3 3 0 Advancing Neuroinformatics and Artificial Brains for Living Machines.- Towards Biophysical Network Simulations of Stochastically Formed Neurospheres.- Tools for Studying Behaviors .- FlyWheel A Robotic Platform for Modeling Fly Visual Behavior.- A coupled oscillator model of human attachment dynamics evaluated in a robot dyadic interaction.- Creating an Artificial No Fly Zone with Sensory Disruptions.- Sensors and Sensing.- Maximizing robotic limb rigidity and strain sensing capabilities through localized Kevlar fiber reinforcement.- Flexible Strain Gauge Sensors as Real time Stretch Receptors for Use in Biomimetic BPA Muscle Applications.- Sensory feedback cancellation Developing resonator networks to mimic A leptorhynchus cerebellar processing of sensory feedback.- Navigational Systems .- Binocular Vision and Vector Summation Based Integration of Bilateral Innate and Learned Visual Cues in Insect Navigation.- Bioinspired Magnetic Navigation for Exploring Celestial Bodies.- Bioinspired Navigation Based on Distributed Sensing in the Leech Using Dynamic Neural Fields.- A Comparative Study of Reinforcement Learning and Insect Inspired Visual Navigation Methods.- Control and Mechanics of Soft and Continuum Systems.- Erodium awns water transport insights for controlled swelling agent rearrangement in anisotropic structures.- Simulated Control of an Aquatic Serpentine Robot with Stable Heteroclinic Channels.- A comparison of model free controllers for trajectory tracking in a plant inspired soft arm.- Pulse Modulation in Braided Pneumatic Actuators Mimics Contractile Behavior of Biological Muscles.- System Design.- Design of a Rat Robotic Forelimb.- Cellular Plasticity Model for Bottom Up Robotic Design.- Vertical closure constraint for self replicating machines.- Mechanical Design of a Feline Robot for Dynamic Scaling Testing.- Moving Inward with Front Legs Improves Tripod Gaits for Crab like Robot Walking in Sand.- Neural Networks for Computation.- Encoding 3D Leg Kinematics using Spatially Distributed Population Coded Network Model.- Analysis Pipeline for High Dimensional Neuromechanical Model Improvement.- Bio Inspired Neural Networks for Control.- Modulation and Time history dependent Adaptation Improves the Pick and Place Control of a Bioinspired Soft Grasper.- Sequence Generator Network for Neuromechanical Control of Rat Hindlimbs.- Multilevel Synthetic Nervous System Control For Legged Locomotion.- Biohybrid Systems.- Biocompatibility of Asiga Dental Resins Using a Low Cost Printer for Biohybrid Actuator Applications.- Speed independent wall distance estimation along a given trajectory of a biohybrid Fly Robot Interface.- Larva in the loop utilizing Zebrafish larvae to control robots in real time via optokinetic response feedback.- Biomechanics.- Passive Stability of Stance is Determined by the Relationship Between Natural Frequency and Walking Frequency.- A Method to Characterize Rat Hindlimb Mechanics Using Dynamic Perturbations.




