Khairul Anam

About

Khairul Anam is a prolific robotics and artificial intelligence researcher whose work spans autonomous robot navigation, biomedical engineering, and intelligent control systems. His research career reflects a sustained commitment to solving real-world problems through innovative computational approaches, from early investigations into hybrid fuzzy Q-learning for autonomous mobile robot navigation in cluttered environments to more recent explorations of deep learning-based brain-computer interfaces for movement classification. Among his most notable contributions is the development of a swarm-based extreme learning machine for finger movement recognition using electromyography signals, highlighting his expertise at the intersection of machine learning and assistive robotics. His work on a low-cost hand rehabilitation robot for post-stroke patients demonstrates a meaningful dedication to making therapeutic technology accessible in developing nations. Anam has also made strides in EEG-based prosthetic control, quadruped robot kinematics, and computer vision-guided navigation systems, including olfactory gas-detection robots. With over 50 cumulative citations across his most recognized works, Anam's research portfolio reflects both technical depth and social relevance. His interdisciplinary approach — bridging robotics, signal processing, and healthcare — makes him a significant contributor to emerging fields in intelligent systems and rehabilitation engineering, particularly within the Southeast Asian research community.

Research Focus

Key Achievements

Top Papers

1. 1
   Hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation in cluttered environment

   11 citations · 2009
2. 2
   Navigation System for Olfactory Mobile Robot by Using Machine Vision System

   6 citations · 2021
3. 3
   Lane Tracking pada Robot Beroda Holonomic menggunakan Pengolahan Citra

   6 citations · 2020
4. 4
   The Design of a Low-Cost Therapy Robot for Hand Rehabilitation of a Post-Stroke Patient

   5 citations · 2018
5. 5
   Evaluasi Inverse Kinematics untuk Robot Quadruped Menggunakan Sensor Accelerometer

   5 citations · 2020
6. 6
   Artificial Intelligence IoT based EEG Application using Deep Learning for Movement Classification

   5 citations · 2021
7. 7
   Swarm-based extreme learning machine for finger movement recognition

   5 citations · 2014
8. 8
   Feature Extraction Evaluation of Various Machine Learning Methods for Finger Movement Classification using Double Myo Armband

   4 citations · 2023
9. 9
   Perancangan Sistem Navigasi Otonom pada Behavior Based Hexapod Robot

   4 citations · 2010
10. 10
    Mobile robot navigation based on line landmarks using the Braitenberg controller and image processing

    3 citations · 2020

Key Collaborators

Contact & Links