3 papers
cs.RO2025
HELP: Hierarchical Embodied Language Planner for Household Tasks
Alexandr V. Korchemnyi, Anatoly O. Onishchenko, Eva A. Bakaeva +2
Embodied agents tasked with complex scenarios, whether in real or simulated environments, rely heavily on robust planning capabilities. When instructions are formulated in natural…
cs.RO2025
LERa: Replanning with Visual Feedback in Instruction Following
Svyatoslav Pchelintsev, Maxim Patratskiy, Anatoly Onishchenko +7
Large Language Models are increasingly used in robotics for task planning, but their reliance on textual inputs limits their adaptability to real-world changes and failures. To add…
cs.CV2024
Symbolic Disentangled Representations for Images
Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov
The idea of disentangled representations is to reduce the data to a set of generative factors that produce it. Typically, such representations are vectors in latent space, where ea…