1 citations · 2 across the 9 of their papers we have counts for
10 papers
GreenWAM: A World Foundation Model for Robotics
Gennady Sidorov, Valerii Kornilov, Denis Grankin +2
A robot needs a world model that predicts how its actions will change the scene and a policy that chooses those actions. Models are usually built and evaluated for only one of thes…
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
I. Apanasevich, M. Artemyev, R. Babakyan +25
We introduce Green-VLA, a staged Vision-Language-Action (VLA) framework for real-world deployment on the Green humanoid robot while maintaining generalization across diverse embodi…
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…
Social Robot Navigation through Constrained Optimization: a Comparative Study of Uncertainty-based Objectives and Constraints
Timur Akhtyamov, Aleksandr Kashirin, Aleksey Postnikov +1
This work is dedicated to the study of how uncertainty estimation of the human motion prediction can be embedded into constrained optimization techniques, such as Model Predictive…
DDPEN: Trajectory Optimisation With Sub Goal Generation Model
Aleksander Gamayunov, Aleksey Postnikov, Gonzalo Ferrer
Differential dynamic programming (DDP) is a widely used and powerful trajectory optimization technique, however, due to its internal structure, it is not exempt from local minima.…
Conditioned Human Trajectory Prediction using Iterative Attention Blocks
Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
Human motion prediction is key to understand social environments, with direct applications in robotics, surveillance, etc. We present a simple yet effective pedestrian trajectory p…
Transformer based trajectory prediction
Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Motion prediction is an extremely challenging task which recen…
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
The correct characterization of uncertainty when predicting human motion is equally important as the accuracy of this prediction. We present a new method to correctly predict the u…
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching
Aleksei Gonnochenko, Aleksandr Semochkin, Dmitry Egorov +7
Given the laborious difficulty of moving heavy bags of physical currency in the cash center of the bank, there is a large demand for training and deploying safe autonomous systems…
HSFM-nn: Combining a Feedforward Motion Prediction Network and Covariance Prediction
A. Postnikov, A. Gamayunov, G. Ferrer
In this paper, we propose a new method for motion prediction: HSFM-nn. Our proposed method combines two different approaches: a feedforward network whose layers are model-based…