This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates!

Calculation of forward and inverse kinematics, Jacobian matrices, dynamic modeling, trajectory planning and geometric calibration for robotic manipulators

Reinforcement learning using rlkit, UR5, Robotiq gripper on ROS(Robot Operating System)

Code for keypoint-based visual servo IROS2020

Matlab scripts to compute Euler-Lagrange dynamic models of a large number of robot manipulators.

PyTorch implementation of the paper Overcoming Exploration in Reinforcement Learning with Demonstrations in surgical robot manipulation tasks.

ABB 140 Robot Draws a Given Picture

Solving the inverse kinematics problem of a 3 Link Planar Manipulator using neural networks.

Six degrees-of-freedom (6DOF) dynamic modeling and adaptive/robust control of an anthropomorphic manipulator arm designed in Simulink environment.

ILC - Iterative Learning Control on 2 DOF planar arm

Autonomy: Mobility and Manipulation @ CU-ICAR

3-DOF Manipulator, interfaced with ROS & implemented with ESP32

The ROS drivers for the svenzva arm product line.

This is a project based on PID control of an industrial manipulator: Kuka KR-16. The complete manipulator assembly is modelled in Solidworks. The CAD model is used in Simechanics environment in MatLab/Simulink with PID controllers for motion control.

For a two-arm manipulator with two revolute joints I have wrote a code in Matlab to do the following. 1.Draw the robot world to display the robot and some polygonal obstacles 2.To generate the robot end-effector workspace. 3.To generate the configuration space and display the configuration space obstacles.

Robot Operating System (ROS) based Robotic Arm used in Kitchen Automation

Kinematics, dynamics, and control system of a new 5-degree-of-freedom hybrid robot manipulator 🤖

This project focuses on training robots to grasp everyday objects accurately. We gather a unique point cloud dataset using an iPhone's LiDAR and process it with Polycam. We develop a PointNet model from scratch to perform multi-class classification and part-segmentation, guiding the robot on where to grasp objects.

Service robot development for RoboCup @Home OPL

An advanced robotics initiative harnessing Kinect's computer vision capabilities for precise object detection and manipulation, coupled with robust autonomous navigation and path planning technologies. Powered by an Arduino for seamless hardware control and real-time responsiveness.