Stars
We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, …
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal …
ROS based force feedback teleoperation system with optional signal delay, using: Haption Virtuose - Senseglove Nova - Kuka iiwa14 - Axia80 FT sensor - Allegro Hand - Resense HEX12 FT sensors.
Master's Thesis: Enhancing Telepresence in Model Mediation Technique Based Teleoperation via Augmented Reality
The code for the paper "A Gesture-based Teleoperation System for Compliant Robot Motion"
Bilateral Teleoperation, Kinematics and Dynamics of 7DOF Barrett Arm in MATLAB
The set of ROS tools for mobile robot teleoperation.
Project on teleoperation of a drone with robot arm.
Package for TelesimPnP: Teleoperation made Easy
These implementations serve as practical demonstrations of key concepts in teleoperation systems, providing a foundation for further research in the field of human-robot interaction
Code for my thesis project: Teleoperation of Multi-Robot Systems Using Gesture-Based Control
PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
An implementation of a sequence to sequence neural network using an encoder-decoder
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
This projects implements a remote robotic arm teleoperation simulation.
Dissertation
Matlab Program designed for joystick/mouse teleoperation of a KINOVA JACO Gen2 Robotic Arm with 6DOF
Focus on time series prediction methods to solve time delay in teleoperation