Vladimir Iashin
Papers
1
Total Citations
9
H-Index
1
About
Vladimir Iashin is a researcher at the forefront of multimodal perception and human-robot interaction, with a particular focus on enabling machines to understand and safely interact with physical objects in dynamic environments. His key research areas include computer vision, audio-visual learning, and the prediction of object properties from sensory data. Iashin’s most notable contribution is the development of the CORSMAL benchmark (2022), a foundational dataset and evaluation framework for contactless estimation of container weight and content volume during human-to-robot handovers. This work addresses critical challenges posed by opaque and transparent materials, as well as variability in container shapes and sizes—essential prerequisites for safe robotic manipulation. With 9 citations, the benchmark has already influenced subsequent research in assistive robotics and perception. Iashin’s work stands out for its practical impact on real-world human-robot collaboration, bridging the gap between raw sensor data and actionable physical insights. His research is particularly valuable for students and engineers working on autonomous systems that must operate safely alongside humans.
Research Focus
Key Achievements
Top Papers
- 1The CORSMAL Benchmark for the Prediction of the Properties of Containers9 citations · 2022