Through the integration of Virtual Reality (VR) technologies, a real-world robotic arm can be controlled as well as monitored for its operation and health status via live camera feed and sensors.
Tech: Unity, Oculus Rift, Arduino, Raspberry Pi
A wheel humanoid-like robot developed which has evolved for few generations and is able to perform object tracking, speech recognition and basic movements.
Tech: Arduino, Raspberry Pi, Artificial Intelligence
The center is currently on the development of a Curiosity-like robotic rover which is designed to be able to overcome terrains and is looking forward to integrating more technological components for wider range of applications.
Tech: Arduino, Raspberry Pi
An InMoov-inspired robotic hand was developed as a prep work for the center to looking into the development of humanoid robot in the future. The developed robotic hand is the slave unit and is controlled by a sensor-equipped glove master unit.
Tech: Arduino
Realizing the growing attention given on drone technologies, the center had a small project of building a mini quad-copter as an initial step into the development of drone technologies and explore its possible integrations with robotics.
Tech: Drone
A low cost finger exoskeleton which is controlled via stroke patient brainwave to rebuild nerve-muscle linkage.
Tech: Arduino, Emotiv, BCI, Artificial Intelligence, MATLab
Achievements:
Silver Medal– ITEX 2018
A low cost, modular-designed machine for wrist rehabilitation for patients with wrist impairment.
Tech: Arduino, Artificial Intelligence, MATLab
Development of a low cost vision based inspection machine system with IOT data tracking and monitoring.
Tech: Arduino, Artificial Intelligence, Raspberry Pi, Internet of Things
A real time vision based pick and place robot with IoT monitoring is to aid SME companies and PCB manufacturing companies.
Tech: Arduino, Internet of Things, Raspberry Pi, Artificial Intelligence
The robot could be controlled wireless using web-portal and the control system for the robot was developed using a Raspberry Pi controller.
Tech: Arduino, Raspberry Pi