Cloud Computing for Humanoid Robotics Tele-immersion

By: Adriano Cavalcanti   Nick Newhard  

This paper addresses challenges in telerobotics using cloud computing, immersive haptics reality, and semi-autonomous robotics. The purpose of our work is to improve low latency performances required to achieve realistic robotics tele-immersion. In telerobotics, semi-autonomous robots are controlled remotely over a wired or wireless connection. Methods focus on wireless communications at bandwidths necessary to transmit command and control signals from the controlling teleoperation unit, while returning live audiovisual and haptic feedback from the telerobot unit, controlled remotely by a human operator donning a virtual reality headset, microphone, and handheld controllers. Latency in communications between telerobot and teleoperator are a primary concern. Human operators must feel present in the remote environment inhabited by the telerobot, where feedback to the human operator is ideally both audiovisual and haptic.

Cloud Computing, Big Data, Haptics, Low Latency, Robotics, Spark, Virtual
Technologies in Society
Virtual Lightning Talk

Adriano Cavalcanti

Assistant Professor, Computer Science, Central Washington University

Nick Newhard

Student, Central Washington University, United States
United States