Hrishikesh Gupta
Papers
2
Total Citations
7
H-Index
2
About
Hrishikesh Gupta is a rising researcher at the forefront of robotic perception, specializing in the notoriously difficult domain of transparent object manipulation. His work directly tackles the fundamental challenge posed by objects that are "inconspicuous" to standard 3D sensors, which produce noisy or distorted data due to refraction and reflection. Gupta’s key contribution is the development of novel intermediate representations that bridge the gap between raw sensor noise and actionable robotic intelligence. His landmark work, "ReFlow6D," introduces a refraction-guided framework for 6D pose estimation, achieving a breakthrough in accuracy for transparent objects. This paper, along with his foundational study "Grasping the Inconspicuous," has already garnered early citations, signaling strong impact in a niche but critical area of robotics. By enabling robots to reliably perceive and grasp transparent items—from glassware to lenses—Gupta’s research is paving the way for more capable and versatile automation in domestic and industrial settings, addressing a long-standing blind spot in computer vision and manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grasping the Inconspicuous3 citations · 2022