Ponomarenko Iaroslav
Papers
1
Total Citations
2
H-Index
1
About
Dr. Iaroslav Ponomarenko is a rising researcher at the forefront of robotic manipulation and computer vision, with a focus on enabling robots to interact intelligently with 3D articulated objects in unstructured environments. His most cited work, "ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection" (2023, 2 citations), tackles a critical bottleneck in home-assistant robotics: the reliance on expensive and noisy 3D point clouds. By pioneering an image-based policy that leverages affordance-guided next view selection, Dr. Ponomarenko demonstrates how robots can efficiently manipulate objects like cabinets and drawers using only 2D visual cues, reducing computational overhead and improving real-world adaptability. This contribution is particularly impactful for future domestic robots, where cost-effective, robust perception is key. Though early in his career, his work bridges the gap between high-level affordance reasoning and low-level control, offering a scalable path toward autonomous interaction with everyday environments. His research holds promise for advancing human-robot collaboration in homes and industries.
Research Focus
Key Achievements
Top Papers
- 1