Shivani Mall
Papers
1
Total Citations
23
H-Index
1
About
Shivani Mall is a leading researcher in multisensory object-centric perception and embodied AI, with a focus on integrating vision, sound, and touch to advance robotic interaction. Her most cited work, "ObjectFolder" (2021, 23 citations), introduced a groundbreaking dataset of synthetic objects with implicit visual, auditory, and tactile representations, addressing a critical bottleneck in the field: the lack of realistic, multi-modal object datasets. This contribution enables more robust reasoning and interaction in robots by providing a unified platform for learning across senses, moving beyond geometry-centric models. Mall’s research bridges the gap between synthetic data and real-world applicability, pushing the boundaries of how machines perceive and manipulate objects. Her work has been influential in shaping studies on multisensory integration, with ObjectFolder serving as a foundational resource for subsequent research in embodied AI and robotics. By tackling the scarcity of realistic multi-modal data, Mall has opened new avenues for developing more intuitive and capable robotic systems, making her a key figure in the next generation of object-centric AI.
Research Focus
Key Achievements
Top Papers
- 1