Artem Erhov
Papers
1
Total Citations
2
H-Index
1
About
Artem Erhov is a robotics researcher whose work centers on legged locomotion, tactile sensing, and sim-to-real transfer for quadruped robots. His most notable contribution is the development of HyperSurf, a system that enables quadruped robots to recognize surfaces through a specialized mechanical leg setup and a GRU-based neural network. By designing a single-leg testbed with easily interchangeable surfaces and implementing real-to-sim transferring, Erhov has advanced the field of terrain-adaptive locomotion, allowing robots to interpret their environment through touch rather than vision alone. His work bridges the gap between simulation and reality, a critical challenge in robotics, and has already garnered attention with early citations. Erhov’s research holds promise for applications in search-and-rescue, exploration, and autonomous navigation in unstructured environments. His innovative approach to surface recognition and data collection acceleration marks him as an emerging leader in robotic perception and control, with future work likely to expand the capabilities of legged robots in complex, real-world terrains.
Research Focus
Key Achievements
Top Papers
- 1