Muhamad Saufi Mohd Kassim
Papers
2
Total Citations
35
H-Index
2
About
Muhamad Saufi Mohd Kassim is a researcher at the forefront of intelligent robotics and autonomous systems, with a primary focus on deep reinforcement learning (DRL) for mobile robot navigation and the application of robotics in agriculture. His most influential work, a 2025 review on DRL for mobile robot navigation in dynamic environments, has already garnered 28 citations, highlighting its timely impact on the field. In this paper, Kassim critically assesses how DRL, a vital branch of artificial intelligence, is revolutionizing robot autonomy, while identifying a key limitation: existing studies often oversimplify dynamic scenarios or focus on static environments, leaving a gap for more robust, real-world applications. Earlier, in his 2017 survey on agricultural robots, Kassim explored how robotics technologies have been leveraged to improve agricultural methods and products, addressing one of humanity’s most enduring challenges. Through these contributions, Kassim has established himself as a thoughtful analyst of both the promise and the pitfalls of intelligent robotics, offering valuable insights for researchers and students working to bridge the gap between simulation and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Brief Survey on Agricultural Robots7 citations · 2017