B. Gueta Lounell

Papers

Total Citations

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About

B. Gueta Lounell’s research centers on robotic manipulation and autonomous grasping, with a particular focus on enabling mobile robots to interact with objects using limited sensory data. His most-cited work, “Robotic grasping based on partial shape information” (2010), introduces a method for fast, reliable grasping by leveraging a laser range finder mounted at an inclined angle on a mobile robot. Rather than requiring full object models, Lounell’s approach extracts key features from partial scans, allowing the robot to calculate stable grasps in real time—a critical advancement for unstructured environments. This contribution addresses a fundamental challenge in robotics: how to perform dexterous manipulation when only incomplete shape information is available. While his citation count (5) reflects a focused, specialized impact, the work has informed subsequent studies in sensor-based grasping and mobile manipulation. Lounell’s research bridges perception and action, offering practical solutions for robots operating in dynamic settings. His efforts highlight the importance of efficient, real-time algorithms in advancing autonomous systems, making his work a valuable reference for students and researchers exploring robotic grasping under uncertainty.