Muhammad Zohaib

About

Muhammad Zohaib is a robotics researcher whose work centers on autonomous navigation, obstacle avoidance, and agricultural automation. His major contributions lie in developing novel algorithms for mobile robot control, particularly the Intelligent Bug Algorithm (IBA), which enables robots to navigate complex environments more efficiently than traditional Bug algorithms. His 2014 paper on IBA (51 citations) and his improved algorithm for handling U- and H-shaped obstacles (50 citations) are foundational works that address critical challenges in collision avoidance. Zohaib’s 2013 survey on control strategies for obstacle avoidance (41 citations) provides a comprehensive overview of the field, while his kinematic modeling of wheeled robots (18 citations) offers practical simulation tools for nonholonomic constraints. Notably, he extended his expertise to agricultural robotics with an autonomous seeder for maize crops (2019, 7 citations), demonstrating real-world impact. With over 176 total citations, Zohaib’s work bridges theoretical algorithm design and practical robotic applications, making him a key contributor to autonomous navigation and precision agriculture.

Research Focus

Key Achievements

Top Papers

1. 1
   IBA: Intelligent Bug Algorithm – A Novel Strategy to Navigate Mobile Robots Autonomously

   51 citations · 2014
2. 2
   An Improved Algorithm for Collision Avoidance in Environments Having U and H Shaped Obstacles

   50 citations · 2014
3. 3
   Control Strategies for Mobile Robot With Obstacle Avoidance

   41 citations · 2013
4. 4
   Addressing collision avoidance and nonholonomic constraints of a wheeled robot: Modeling and simulation

   18 citations · 2014
5. 5
   Intelligent Bug Algorithm (IBA): A Novel Strategy to Navigate Mobile\n Robots Autonomously

   9 citations · 2013
6. 6
   An Autonomous Seeder for Maize Crop

   7 citations · 2019

Key Collaborators

Contact & Links