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Quantifying the biomimicry gap in biohybrid robot-fish pairs
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior.
Predicting the long-term collective behaviour of fish pairs with deep learning
Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social interactions in the fish species Hemigrammus rhodostomus.
Exploring a Handwriting Programming Language for Educational Robots
Recently, introducing computer science and educational robots in compulsory education has received increasing attention.
Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors
We compare our new "safety-aware IT&E" algorithm to IT&E and a multi-objective version of IT&E in which the safety constraints are dealt as separate objectives.
