Achmad Jazidie

About

Achmad Jazidie is a leading figure in autonomous mobile robotics, with a career-long focus on developing intelligent navigation and collision-avoidance systems for service robots. His core research integrates computer vision, sensor fusion, and machine learning to enable robots to operate safely in dynamic, cluttered indoor environments. Jazidie’s major contributions include pioneering the use of stereo vision for multiple moving obstacle avoidance, as demonstrated in his most-cited work (34 citations), and robust Bayesian methods for handling uncertainty in robot perception. He has also advanced path planning through novel approaches like modified crossover genetic algorithms and distributed trajectory generation for multi-arm cooperative robots. His work on hybridizing fuzzy Q-learning with behavior-based control represents a significant step toward adaptive, learning-based navigation. With over 150 total citations across his key papers, Jazidie’s research has directly impacted the development of practical service robots capable of tasks like delivering objects to recognized customers. His notable achievements include developing integrated systems that combine face recognition, visual tracking, and ultrasonic sensing, pushing the boundaries of how robots perceive and interact with humans in shared spaces.

Research Focus

Key Achievements

Top Papers

1. 1
   Multiple Moving Obstacles Avoidance of Service Robot using Stereo Vision

   34 citations · 2011
2. 2
   A Robust Obstacle Avoidance for Service Robot Using Bayesian Approach

   22 citations · 2011
3. 3
   Indoor Navigation Using Adaptive Neuro Fuzzy Controller for Servant Robot

   20 citations · 2010
4. 4
   Path Planning for Differential Drive Mobile Robot to Avoid Static Obstacles Collision using Modified Crossover Genetic Algorithm

   19 citations · 2019
5. 5
   Distributed trajectory generation for cooperative multi-arm robots via virtual force interactions

   13 citations · 1997
6. 6
   A navigation system for service robot using stereo vision and Kalman Filtering

   12 citations · 2011
7. 7
   Hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation in cluttered environment

   11 citations · 2009
8. 8
   An Improved Face Recognition System for Service Robot Using Stereo Vision

   10 citations · 2011
9. 9
   A New Obstacle Avoidance Method for Service Robots in Indoor Environments

   10 citations · 2012
10. 10
    Evading of Pedestrian Pursuer and Avoiding Obstacles Using Path-Velocity Planner

    6 citations · 2021

Key Collaborators

Contact & Links