Krishneel Chaudhary
Papers
8
Total Citations
106
H-Index
6
About
Krishneel Chaudhary is a roboticist whose research lies at the intersection of computer vision, manipulation, and autonomous systems, with a particular focus on enabling robots to perceive, understand, and interact with unstructured environments. His work spans agricultural robotics, aerial manipulation, and object affordance learning. Chaudhary’s most cited paper, “Reasoning-based vision recognition for agricultural humanoid robot toward tomato harvesting” (39 citations), introduces a vision cognition framework inspired by human harvesting behavior, aiming to build a humanoid robot capable of autonomous tomato picking. He also contributed to the development of the DRAGON transformable multilinked aerial robot, achieving the challenging flight motion of passing through small openings (16 citations). In visual tracking, Chaudhary proposed a robust real-time method using a dual-frame deep comparison network integrated with correlation filters (16 citations), addressing the need for efficient, accurate tracking in drones and other intelligent robots. His work on predicting part affordances of objects using two-stream fully convolutional networks (12 citations) advances robotic manipulation by enabling robots to understand object functions based on geometry and physics. Chaudhary’s contributions to autonomous object acquisition and segmentation in unstructured environments further demonstrate his commitment to building robots that can learn and operate without human intervention.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8