Shivaum Kumar
Papers
2
Total Citations
32
H-Index
2
About
Shivaum Kumar is a leading researcher in robot-assisted feeding, a domain where robotics meets assistive technology to improve quality of life. His work focuses on developing adaptive manipulation strategies that enable robots to handle the immense diversity of real-world food items—a challenge defined by wide variations in shape, texture, and deformability. Kumar’s key contribution lies in generalizing skewering strategies across food items on a plate, moving beyond brittle, item-specific approaches. His most cited paper (2022, 19 citations) and its earlier companion (2019, 13 citations) demonstrate how robots can learn to acquire both familiar and previously unseen foods by exploiting shared physical properties. This work directly addresses a critical bottleneck in assistive feeding: the need for robust, generalizable grasping. By showing that a single framework can handle everything from soft berries to rigid vegetables, Kumar has laid the groundwork for practical, real-world feeding systems. His research is not only technically rigorous but also deeply human-centered, aiming to restore independence to individuals with upper-limb impairments. With a growing citation record and a clear focus on translational impact, Kumar is shaping the future of autonomous assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2