Akash Kumar Bhoi

About

Dr. Akash Kumar Bhoi is a leading researcher at the intersection of artificial intelligence, robotics, and biomedical engineering. His work primarily focuses on developing intelligent, real-time control systems for autonomous robots and enhancing medical technologies through AI. Dr. Bhoi’s most significant contribution is the creation of a **Probabilistic Deep Q Network** for real-time path planning in critical robotic procedures, a breakthrough that leverages force sensors to enable safer, more adaptive autonomous navigation (79 citations). He has also pioneered the integration of **Artificial Intelligence for Internet of Things (IoT) in enhanced medical systems** (71 citations), demonstrating how AI can transform healthcare monitoring and diagnostics. In the biomedical domain, Dr. Bhoi developed a novel **cross-correlated spectral entropy-based method for classifying EEG motor imagery signals**, a key advancement for controlling lower limb exoskeletons (10 citations). His recent work includes a comparative analysis of YOLO models for optimizing object detection in autonomous robots (9 citations), showcasing his ongoing commitment to improving robotic perception. With a growing citation impact, Dr. Bhoi’s research is shaping the future of intelligent, responsive robotic systems and AI-driven healthcare solutions.

Research Focus

Key Achievements

Top Papers

1. 1
   Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors

   79 citations · 2021
2. 2
   Artificial Intelligence for Internet of Things and Enhanced Medical Systems

   71 citations · 2020
3. 3
   Cross-correlated spectral entropy-based classification of EEG motor imagery signal for triggering lower limb exoskeleton

   10 citations · 2022
4. 4
   Optimizing object detection for autonomous robots: a comparative analysis of YOLO models

   9 citations · 2025

Key Collaborators

Contact & Links