Nishant Nikhil

University of Nevada, Las Vegas, Indian Institute of Technology Kharagpur

Papers

Total Citations

189

H-Index

About

Nishant Nikhil is a leading researcher at the intersection of computer vision and autonomous robotics, with a primary focus on human trajectory prediction. His most impactful contribution, the 2019 paper “Convolutional Neural Network for Trajectory Prediction,” has garnered 183 citations, establishing a foundational approach for enabling autonomous systems to safely navigate human-populated environments. Nikhil’s work addresses the critical challenge of predicting pedestrian motion with both high precision and computational efficiency—a necessity for real-world deployment of robots and self-driving vehicles. By pioneering convolutional neural network architectures for this task, he has helped bridge the gap between theoretical AI models and practical, real-time robotic perception. His research is essential for developing socially-aware autonomous agents that can anticipate human behavior, ensuring safer human-robot interaction. With a growing body of work that continues to influence the fields of motion forecasting and embodied AI, Nikhil stands out as a key contributor to making autonomous systems more intuitive and reliable in dynamic, shared spaces.