Y. Patel

Graph Neural Networks in cancer genomics: Mapping mathematical operations to biological insights

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

For robots to operate reliably in real-world environments, they need to perceive their surroundings, act, and reason about the consequences of those actions. Rapid progress in the domains of representation learning, VLA models, and world models has significantly enhanced the capabilities of robot learning systems, enab...

Reinforcement Learning in Wearable Robotic Systems for Orthopedic Rehabilitation: An Elbow-Focused Narrative Review

The literature supports a staged translational strategy centered on hierarchical control, conservative safety design, and clinically bounded personalization, which is most defensible as a supervisory or personalization layer that adapts assistance within hard constraints on torque, speed, and range of motion.