ALIREZA NADERI AKHORMEH
BAI JUN KEVIN GUAN-ZHIDE
KOUROSH RIAHIDEHKORDI
ANDRES FRANCISCO HIDALGO ROMERO
Myrna Citlali Castillo Silva
Remi Antoine Cambuzat
Andrea Bennati
Sunny Katyara
Dario Mazzanti
Abdeldjallil Naceri
Patricia Yáñez Piqueras
Brendan Emery
Mohammad Fattahi Sani
We study how the combination of immersive mixed reality (MR) interfaces, intuitive control devices, real-time data from remote sensors (RGB-D cameras, microphones, F/T sensors, etc.) can allow high-fidelity in the perception-action loop, offering a real-time immersive interaction experience to the human user in telerobotics applications.
VR serves as a promising technology demonstration for safety training, providing risk free, immersive learning, among other features. We explore how xR technologies, combining VR with spatially contextualized physical interaction, can help make training sessions more effective in the acquisition of safety behaviour, while increasing the trainee’s engagement.
The overarching objective of our research is to improve our knowledge of how humans interact with remote environments, real or virtual. We investigate how predictive full-body biomechanical simulations, biophysiological parameter tracking, combined with xR can help understand a human user’s behaviour during their interaction with remote environments.
The interface facilitates intuitive real-time remote teleoperation, while utilizing the inherent benefits of VR, including immersive visualization, freedom of user viewpoint selection, and fluidity of interaction through natural action interfaces
Robot Manipulators, Multi-cam streaming, Jetson AGX Xavier, HTC Vive Pro, UE4, Point-cloud streaming, Telepresence, Gstreamer, FFmpeg
A remote 3D data visualization framework that utilizes the natural acuity fall-off in the human eyes to facilitate the processing, transmission, buffering, and rendering in VR of dense point-clouds / 3D reconstructed scenes.
Sampling, ElasticFusion, HTC Vive Pro Eye (Gaze tracking), CUDA, OpenGL-SL, OpenMP, Gstreamer, FFmpeg, UE4
An interface that enhances the telepresence of an operator engaged in immersive haptic telemanipulation, facilitating intuitive interaction by enabling unrestricted operator motion through encountered-type haptic feedback.
Bilateral haptic teleoperation, Encountered-type haptics, Gesture-based tele-grasping, Meta Quest 2, Meta Quest pro, UE4, UE5, ROS
A unified system for simultaneously estimating obstacle avoidance vectors while generating a TSDF-based 3D reconstruction of the environment, in real-time
TSDF, Open3D, CUDA, ROS, Real-time 3D reconstruction, Robot Manipulators, “Feel-where-you-don't-see"
In the field of safety training, immersive, virtual training environments are seen to be more effective than conventional methods, when it comes to the acquisition of safety behaviour, and can increase trainee’s engagement.
UE4, Quest System, Cyberith Virtualizer, HTC Vive Focus 3, Oculus Quest 2
Simulations are an important means to study biomechanical phenomena in industrial scenarios, e.g., falling from heights. “What If?” simulations help predict new outcomes using the simulations of the technologies being designed.
OpenSim, SCONE, Matlab / Simulink, Musculoskeletal model
This project advances the results from the Robot Teleoperativo 1 project, bringing the developed technologies closer to the application domain through extensive field testing and use-case demonstrations.
Role: Project Coordinator
Duration: 1-Jan-2021 -to- 31-Dec-2023
Sponsor: Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro (INAIL)
More Details: https://advr.iit.it/projects/inail-scc/teleoperazione
(Falling from Heights)
The project is aimed at the design and development of novel strategies and solutions aimed at preventing accidents as well as protecting workers working at heights. The project will focus on advancements in wearable sensing & actuation technologies, including technologies for fall impact reduction and smart monitoring, as well as on new paradigms in immersive training for workers.
Role: Project Co-Coordinator
Duration: 1-Jan-2021 -to- 31-Dec-2023
Sponsor: Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro (INAIL)
This project aims at enhanced occupational safety in hazardous environments through substitution, i.e., removing the worker from the unsafe area and having robotic technologies do the same tasks through remote robotic teleoperation. To achieve this goal, a collaborative robotic system is proposed, composed of a mobile manipulator FIELD robot, teleoperated from the immersive haptic PILOT station,
Role: Project Coordinator
Duration: 1-Sep-2017 -to- 31-Dec-2020 (Completed)
Sponsor: Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro (INAIL)
More Details: https://advr.iit.it/projects/inail-scc/teleoperazione