Nithish K Sanjeev Kumar
Papers
3
Total Citations
94
H-Index
3
About
Nithish K Sanjeev Kumar is a robotics researcher whose work lies at the intersection of deep reinforcement learning, socially-aware navigation, and autonomous systems. His most impactful contribution, "DWA-RL" (75 citations), introduces a novel policy that fuses the Dynamic Window Approach with deep reinforcement learning, enabling robots to compute dynamically feasible velocities while navigating safely among moving obstacles—a critical advance for real-world deployment. Building on this, his work "CoMet" (16 citations) addresses the social dimension of robot navigation by modeling group cohesion from visual pedestrian features, allowing robots to move through crowded scenes in a socially compliant manner. More recently, he has extended his expertise to surveillance, developing an autonomous monitoring system that integrates object detection and tracking via OpenCV and ESP-32 cam modules. With over 90 combined citations, Sanjeev Kumar’s research demonstrates a clear trajectory from fundamental motion planning to socially intelligent robotics, offering practical solutions for robots operating in dynamic, human-populated environments. His work is particularly relevant for students and researchers interested in bridging control theory, machine learning, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3