Bullet simulation for SoftBank Robotics robots
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Updated
Dec 30, 2022 - Python
Bullet simulation for SoftBank Robotics robots
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Webots controller that implements the LoLa interface for Nao V6 as used by RoboCup SPL
Python application to create a choreography for the NAO robot so that is fully automatically using AI techniques and suitable for the song that is selected randomly.
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Written Language Detection and Gibberish Synthesis for NAO.
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A simple, "productivity dashboard" terminal program written in python 3.
This library aims to ease the realisation of non-verbal gestures on a Softbanks Robotics Nao robot.
The Humanoid Robot Pose Mimicry project merges computer vision and robotics. It uses the Mediapipe library to capture human upper body poses from images and transmits them to a NAO humanoid robot. This interactive project explores seamless human-robot interaction through the replication of detected poses.
Study on Nao with a multi-agent approach
The project consist on using an Optical Tracking System (MoCap from Optitrack) to capture the motion of the upper section of the body of a person and use the data collected to move the body of humanoid robot Nao, thus the robot mimics the human's motion. The current developing repo for the project is on the link.
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