Morteza Behrooz

Papers

Total Citations

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About

Morteza Behrooz is a researcher at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on enabling robots to perceive and manipulate objects in real-world environments. His most impactful work centers on the development of scalable methods for constructing 3D object recognition databases, a critical bottleneck in robotic grasping. In his highly cited 2014 paper (18 citations), Behrooz pioneered a crowdsourcing approach that leverages non-experts to build these databases, dramatically reducing the time and cost traditionally required for specialized equipment. This work was further advanced in his 2015 follow-up (13 citations), which integrated grasp demonstrations into the database construction process, bridging the gap between object recognition and physical manipulation. Beyond technical contributions, Behrooz has explored the social applications of robotics, co-authoring a 2014 study on robotic and virtual companions for isolated older adults. His research demonstrates a commitment to making robotic systems more accessible, both in terms of data acquisition and real-world utility, with his citation record reflecting the foundational nature of his contributions to object recognition for robotic grasping.