Daniel Basa
Papers
2
Total Citations
35
H-Index
2
About
Daniel Basa is a robotics researcher whose work focuses on the design and control of elastic, sensorized actuation systems for safer and more adaptive robotic movement. His primary contributions lie in developing self-contained elastic joint drives that integrate sensorized elastomer couplings, enabling compliant and force-sensitive interactions between robots and their environments. His most cited paper, "A self-contained, elastic joint drive for robotics applications based on a sensorized elastomer coupling—Design and identification" (2013, 28 citations), presents a foundational design for such systems, detailing both mechanical construction and system identification. Basa further advanced the field by exploring how dynamic movement primitives can be applied to elastic limbs, as shown in his work on learning point-to-point movements (2015, 7 citations). This research bridges the gap between traditional rigid robotics and the growing need for flexible, human-safe machines. While his citation counts reflect a specialized but impactful niche, Basa’s contributions are particularly relevant to the development of compliant manipulators and human-robot collaboration, where elasticity and precise control are essential. His work continues to influence engineers designing next-generation robotic joints that prioritize both performance and safety.
Research Focus
Key Achievements
Top Papers
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