Yalda Ghasemi
Papers
5
Total Citations
347
H-Index
4
About
Yalda Ghasemi is a leading researcher at the intersection of robotics, mixed reality (MR), and human-robot collaboration (HRC), with a focus on creating safer, more intuitive interaction paradigms. Her work is defined by pioneering the use of deep learning and multimodal sensing to enable hands-free control, a critical advancement for industrial settings where workers’ hands are occupied. Her most cited paper (226 citations) introduces an integrated mixed reality system that generates digital twins for safety-aware HRC, while another highly influential study (105 citations) proposes a novel hands-free method using eye gazing and head gestures, empowering operators to manipulate robots indirectly. Ghasemi’s contributions extend to real-time safety systems, such as an XR-based approach that calculates minimum distances between humans and robots to prevent accidents. More recently, she has explored prosocial behavior in micromobility, examining how immersive virtual environments can foster harmonious interactions between e-scooter users and delivery robots. Her work has been published in top venues like *Robotics and Computer-Integrated Manufacturing* and *IEEE Access*, and she has been recognized for advancing the future of work by making human-robot teams safer, more efficient, and more accessible.
Research Focus
Key Achievements
Top Papers
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- 3An XR-based Approach to Safe Human-Robot Collaboration11 citations · 2022
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