AI Agent Skills

Several controllers to move Ridgeback mobile-robot and UR5 robotic-arm.

Open source 3D printed Robotic Actuator

Code for PerAct², a language-conditioned imitation learning agent designed for bimanual robotic manipulation using the RLBench environment. It includes dataset generatio…

Real-time robotic object pose estimation with deep learning

Trajectory optimization algorithms for robotic control.

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as m…

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

RoboDual: Dual-System for Robotic Manipulation

[IROS24 Oral]ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"

Deep Reinforcement Learning for Robotic Grasping from Octrees

An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Robotic simulation in Unity with ROS integration.