Pranav Rajbhandari
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View article: Understanding visual attention beehind bee-inspired UAV navigation
Understanding visual attention beehind bee-inspired UAV navigation Open
Bio-inspired design is often used in autonomous UAV navigation due to the capacity of biological systems for flight and obstacle avoidance despite limited sensory and computational capabilities. In particular, honeybees mainly use the sens…
View article: Fine Tuning Swimming Locomotion Learned from Mosquito Larvae
Fine Tuning Swimming Locomotion Learned from Mosquito Larvae Open
In prior research, we analyzed the backwards swimming motion of mosquito larvae, parameterized it, and replicated it in a Computational Fluid Dynamics (CFD) model. Since the parameterized swimming motion is copied from observed larvae, it …
View article: Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games Open
We consider the problem of team selection within multiagent adversarial team games. We propose BERTeam, a novel algorithm that uses a transformer-based deep neural network with Masked Language Model training to select the best team of play…
View article: UAV Routing for Enhancing the Performance of a Classifier-in-the-loop
UAV Routing for Enhancing the Performance of a Classifier-in-the-loop Open
Some human-machine systems are designed so that machines (robots) gather and deliver data to remotely located operators (humans) through an interface in order to aid them in classification. The performance of a human as a (binary) classifi…
View article: Learning NEAT Emergent Behaviors in Robot Swarms
Learning NEAT Emergent Behaviors in Robot Swarms Open
When researching robot swarms, many studies observe complex group behavior emerging from the individual agents' simple local actions. However, the task of learning an individual policy to produce a desired group behavior remains a challeng…