Papers
10
Total Citations
157
H-Index
5
About
Manuel Bandala is a robotics and control systems researcher whose work spans autonomous navigation, teleoperation, advanced control strategies, and robotic applications in hazardous environments. His early contributions focused on indoor robot positioning and vehicle control, notably developing an enhanced trilateration algorithm for factory floor robot localization using radio-frequency transceivers (2016, 52 citations) and a cascade control strategy for self-balancing vehicles (2016, 28 citations). Bandala has made particularly significant strides in robotics for nuclear and radiologically active environments, co-developing a vision-based tele-operation system for a hydraulically actuated dual-arm robot capable of pipe cutting and grasping in nuclear settings (2019, 48 citations), and later demonstrating its semi-autonomous implementation on real pipework materials (2021). His work on low-cost, semi-autonomous radiological scanning systems reflects a pragmatic approach to deploying commercial off-the-shelf technologies in safety-critical contexts. Across his portfolio, Bandala also addresses underwater vehicles and bilateral teleoperation, including haptic-controlled submarines and sliding-mode controllers for underwater gliders. With over 155 cumulative citations, his research consistently bridges theoretical control design with real-world deployment in challenging, high-stakes industrial and nuclear environments.
Research Focus
Key Achievements
Top Papers
- 1Indoor Robot Positioning Using an Enhanced Trilateration Algorithm52 citations · 2016
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- 9Sliding-PD control performance on autonomous underwater gliders2 citations · 2015
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