Hanna Yurchyk — accepted AI-conference papers

2026

VOCALoco: Viability-Optimized Cost-Aware Adaptive Locomotion

Stanley Wu, Mohamad H. Danesh, Simon Li, Hanna Yurchyk, Amin Abyaneh, Anas El Houssaini +2

RA-L 2026

Recent advancements in legged robot locomotion have facilitated traversal over increasingly complex terrains. Despite this progress, many existing approaches rely on end-to-end deep reinforcement learning (DRL), which poses limitations in terms of safety and interpretability, especially when general

Cited by 1 Source ↗Scholar ↗

2026

VOCALoco: Viability-Optimized Cost-Aware Adaptive Locomotion

Stanley Wu, Mohamad Hosein Danesh, Simon Li, Hanna Yurchyk, Amin Abyaneh, Anas El Houssaini +2

ICRA 2026poster

Recent advancements in legged robot locomotion have facilitated traversal over increasingly complex terrains. Despite this progress, many existing approaches rely on end- to-end deep reinforcement learning (DRL), which poses limi- tations in terms of safety and interpretability, especially when gene…

Cited by 0 Source ↗PDF ↗Scholar ↗