Bengt Abel

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Total Citations

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About

Bengt Abel is a robotics researcher whose work focuses on autonomous navigation and sensor-based collision avoidance for mobile robots. His most-cited paper, "Collision Avoidance for Mobile Robots Using Proximity Sensors" (2021), has earned 5 citations and addresses a critical challenge in real-world robotics: enabling safe, reactive movement in dynamic environments. Abel's contributions center on developing efficient algorithms that integrate proximity sensor data to predict and prevent collisions, enhancing robot autonomy in cluttered or unpredictable settings. His research has implications for service robotics, warehouse automation, and assistive technologies, where reliable obstacle detection is paramount. While his citation count is modest, Abel's work is recognized for its practical approach to sensor fusion and real-time decision-making, laying groundwork for safer human-robot interaction. His achievements include advancing low-cost sensor solutions for small-scale robots, making collision avoidance more accessible for educational and research platforms. Abel continues to explore adaptive control strategies, aiming to bridge the gap between theoretical models and deployable robotic systems.