Argel A. Bandala
Papers
50
Total Citations
800
H-Index
11
About
Argel A. Bandala is a prolific researcher whose work sits at the intersection of robotics, artificial intelligence, and autonomous systems. Best known for his highly cited 2018 study on object detection using convolutional neural networks — which has amassed over 300 citations — Bandala has made significant contributions to the field of machine vision as applied to mobile and field robotics. His research spans intelligent navigation, including path planning through genetic algorithms and probabilistic roadmaps, as well as swarm robotics for unmanned aerial vehicles (UAVs), where his foundational work on quadrotor swarming behaviors and obstacle avoidance using artificial potential fields has shaped the direction of multi-agent systems research. Beyond core robotics, Bandala has extended his expertise into practical applications such as agricultural robotics, developing inverse kinematics frameworks for crop-harvesting arms in vertical farming, and in-pipe inspection robots capable of rust detection and adaptive traversal. His visionary scope is further demonstrated through policy-oriented work on the Philippines' readiness for Industry 4.0 and forward-looking explorations of Industry 5.0 in space agriculture. Together, his body of work — spanning over 580 cumulative citations — reflects a researcher committed to bridging cutting-edge technology with real-world societal impact.
Research Focus
Key Achievements
Top Papers
- 1Object Detection Using Convolutional Neural Networks303 citations · 2018
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10