Papers
2
Total Citations
7
H-Index
2
About
Hristo Filaretov is a researcher focused on advancing human-robot interaction and assistive technologies, particularly within industrial and manufacturing contexts. His primary research areas include human action recognition, inertial measurement unit (IMU) applications, and the development of soft-robotic exoskeletons. Filaretov’s major contributions center on creating specialized motion datasets and recognition systems tailored for cyclic industrial tasks, such as overhead car assembly and disassembly. His 2022 work, "Inertial Measurement Unit based Human Action Recognition Dataset for Cyclic Overhead Car Assembly and Disassembly," provides a critical resource for studying human-robot collaboration and exoskeleton control, addressing the scarcity of industrial-context datasets compared to abundant Activities of Daily Living (ADL) datasets. Additionally, his 2021 paper on IMU-based action recognition for soft-robotic exoskeletons tackles the challenge of reducing musculoskeletal overload in workers, proposing more comfortable and flexible solutions than traditional stiff exoskeletons. Though his citation counts are currently modest (4 and 3 citations respectively), Filaretov’s work is foundational for improving worker safety and ergonomics through intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2