Biomimetic and Biohybrid Systems
Springer International Publishing (Verlag)
978-3-031-72596-8 (ISBN)
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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.
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.
| Erscheint lt. Verlag | 17.1.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 459 p. 193 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Biohybrid • Bioinspiration • Biomimetics • brain-inspired • Control • Design • Navigation • Robotics • sensing |
| ISBN-10 | 3-031-72596-4 / 3031725964 |
| ISBN-13 | 978-3-031-72596-8 / 9783031725968 |
| Zustand | Neuware |
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