Kartik Gupta
Papers
1
Total Citations
3
H-Index
1
About
Kartik Gupta’s research centers on robotic manipulation, specifically the nuanced challenges of grasping and dexterous hand control. His major contribution lies in rethinking how robots handle objects in constrained or awkward configurations—situations where simple, pre-programmed grasps fail. In his most-cited work, “Near-contact grasping strategies from awkward poses,” Gupta demonstrates that humans employ coordinated, multi-finger movements to grasp objects nearly as large as the hand or when space is tight. By translating these human-inspired strategies into robotic algorithms, he provides a framework for machines to adapt their grip in real-time, moving beyond binary open-close commands. Though early in his career, with this paper accruing 3 citations, the work’s foundational nature signals its growing relevance in fields like assistive robotics and manufacturing. Gupta’s approach bridges biomechanics and machine learning, offering practical solutions for robots operating in cluttered or unpredictable environments. His research is particularly valuable for students and engineers seeking to enhance robotic autonomy in tasks requiring fine motor control, from warehouse picking to surgical assistance. As his citation count rises, Gupta is poised to become a key voice in dexterous manipulation.
Research Focus
Key Achievements
Top Papers
- 1