collaborators

5 papers

cs.CE2026

Rule-Based Spatial Mixture-of-Experts U-Net for Explainable Edge Detection

Bharadwaj Dogga, Kaaustaaub Shankar, Gibin Raju +2

Deep learning models like U-Net and its variants, have established state-of-the-art performance in edge detection tasks and are used by Generative AI services world-wide for their…

cs.CE2025

Fuzzy Decisions on Fluid Instabilities: Autoencoder-Based Reconstruction meets Rule-Based Anomaly Classification

Bharadwaj Dogga, Gibin Raju, Wilhelm Louw +1

Shockwave classification in shadowgraph imaging is challenging due to limited labeled data and complex flow structures. This study presents a hybrid framework that combines unsuper…

cs.LG2025

On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization

Kaaustaaub Shankar, Wilhelm Louw, Kelly Cohen

We present a reinforcement learning method for training neuro-fuzzy controllers using Proximal Policy Optimization (PPO). Unlike prior approaches that used Deep Q-Networks (DQN) wi…

cs.RO2025

Fuzzy-RRT for Obstacle Avoidance in a 2-DOF Semi-Autonomous Surgical Robotic Arm

Kaaustaaub Shankar, Wilhelm Louw, Bharadwaj Dogga +3

AI-driven semi-autonomous robotic surgery is essential for addressing the medical challenges of long-duration interplanetary missions, where limited crew sizes and communication de…

cs.RO2025

A Genetic Fuzzy-Enabled Framework on Robotic Manipulation for In-Space Servicing

Nathan Steffen, Wilhelm Louw, Nicholas Ernest +2

Automation of robotic systems for servicing in cislunar space is becoming extremely important as the number of satellites in orbit increases. Safety is critical in performing satel…