Robotic Appendages as Extensions of Remote Humans
Snake-shaped telexistence robots offer a flexible alternative to conventional humanoid telepresence systems, enabling more adaptable and embodied interaction with remote environments. Their articulated, non-humanoid form allows effective operation in confined or complex spaces while supporting wearable, low-burden use. This research area is important for advancing practical telexistence in applications such as remote assistance, inspection, and skill transfer, where adaptability and usability are critical.
Piton
PITON is a wearable, snake-shaped telexistence robot designed to extend human perception and interaction into remote environments.
Its articulated structure enables flexible viewpoints and interaction in confined or complex spaces.
By combining wearable operation with intuitive control, PITON supports embodied remote presence. The system targets applications such as inspection, remote assistance, and skill transfer.
LinkForm: a Multipurpose VR-based Remote Skill-Transfer Robotic System
LinkForm is a multipurpose VR-based robotic system designed to support remote skill transfer through embodied interaction.
By combining immersive virtual reality with real-world robotic manipulation, it enables users to learn, demonstrate, and replicate complex skills at a distance.
The system supports intuitive motion capture, visualization, and feedback to reduce the gap between expert and learner.
LinkForm targets applications in training, education, and remote collaboration across diverse domains.
Augmented Reality x Supernumerary Robotic Limb
It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.
Make it stand out.
Whatever it is, the way you tell your story online can make all the difference.
Publications of this project
Augmenting Daily Interactions with Serpentine-Shaped Robotic Appendages - Doctoral Dissertation - Mohammed Al-Sada, 2020.
Supervised by Prof. Tatsuo Nakajima. (Download)