Example usage of a set of simulation benchmarks

This repository contains the implementation, data-generation pipelines, and trained behavior-cloning models for a kitchen pick-and-place task using IsaacLab. Task: a Franka Emika manipulator picks a tomato soup can (container) from inside a fridge and places it inside the microwave cavity.

This project investigates the robustness of humanoid locomotion policies trained with imitation learning and reinforcement learning in simulation. The primary research question is: how does a learned PPO controller respond to partial actuator or degree-of-freedom failure, and which joints are most critical for maintaining stable locomotion?

Integrating π₀-Droid into SAILOR for robust robotic imitation learning, combining pretrained vision-language-action priors with recovery-based search on RoboMimic.

A simple, efficient, and extensible evaluation framework for robot policies across diverse benchmarks, supporting both local and remote execution

📊 Simplify activity management for Information Technology programs with SIMAKTI, a centralized web application that replaces manual Excel tracking.

Behavioral Cloning and Diffusion Policy for Panda PickPlaceCan manipulation using robosuite, robomimic, RGB observations, and expert demonstrations.

Сайт про рольшторы в Минске

Multi-task JEPA world model: frozen DINO ViT-S/14 visual encoder + frozen CLIP task embeddings + Newt-style per-task action masking. Two architectures (feature-tiling and separate-token) over 5- or 8-task robot manipulation pretraining.