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Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing (1703.01270v1)

Published 3 Mar 2017 in cs.RO

Abstract: Expensive specialized systems have hampered development of telerobotic systems for manufacturing systems. In this paper we demonstrate a telerobotic system which can reduce the cost of such system by leveraging commercial virtual reality(VR) technology and integrating it with existing robotics control software. The system runs on a commercial gaming engine using off the shelf VR hardware. This system can be deployed on multiple network architectures from a wired local network to a wireless network connection over the Internet. The system is based on the homunculus model of mind wherein we embed the user in a virtual reality control room. The control room allows for multiple sensor display, dynamic mapping between the user and robot, does not require the production of duals for the robot, or its environment. The control room is mapped to a space inside the robot to provide a sense of co-location within the robot. We compared our system with state of the art automation algorithms for assembly tasks, showing a 100% success rate for our system compared with a 66% success rate for automated systems. We demonstrate that our system can be used for pick and place, assembly, and manufacturing tasks.

Citations (180)

Summary

  • The paper introduces "Baxter's Homunculus," a novel cost-effective VR-based teleoperation system for manufacturing tasks that integrates off-the-shelf VR hardware.
  • A key finding shows the VR teleoperation system achieves a 100% task success rate, outperforming conventional state-of-the-art automation techniques with a 66% success rate.
  • The proposed system operates flexibly over various network configurations, including wireless internet, enabling remote supervision and control of manufacturing robots from different locations.

Essay on "Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing"

The paper "Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing" introduces a novel approach to teleoperation that integrates existing virtual reality (VR) systems with robotic control software to create a cost-effective and versatile teleoperated manufacturing system. This system leverages off-the-shelf VR hardware coupled with commercial gaming engines and promises a 100% success rate in comparison to automated systems accomplishing similar tasks.

The authors propose a teleoperation system based on the homunculus model, an analogy drawn from a philosophical concept critiquing Cartesian dualism. The system embeds the human operator in a virtual control room environment, simulating co-location within the robot's perceptual and operational space. The VR control room (VRCR) enables an adjustable and decoupled interface between the user's and robot's inputs and outputs. Unlike previous efforts in the domain, this system does not require a fully constructed digital twin of the robots or their environments, thus reducing the computational overhead and improving real-time responsiveness.

Extending the capacity for teleoperation into various network configurations, the proposed system can operate over both local wired networks and broader internet connections. This flexibility allows for remote supervision and hands-on control of manufacturing tasks from disparate locations, which was demonstrated through various network setups, including a wireless connection over a hotel's wireless internet from a different city.

One of the key results reported in the paper is the system's 100% task success rate when compared to conventional state-of-the-art automation techniques, which achieve a 66% success rate using In-hand Object Localization (IOL) algorithms. The success encompasses tasks such as assembly without fixtures, precise pick-and-place actions, and manipulations involving complex objects like flexible materials or intricate shapes. The VRCR allows operators to dynamically map their inputs to the robot’s actuators in real-time, offering more naturalistic and ergonomic control modes that accommodate the disparities in form and functionality between human operators and robotic systems.

This research contributes several significant advancements to the field of teleoperated systems. It presents a method for utilizing the homunculus model for user-robot interaction, an innovative VR-based teleoperation architecture, and empirical evidence of enhanced performance over traditional automation techniques. The theoretical implications suggest that VR-mediated control can dramatically increase the efficacy and flexibility of human-robot collaboration. Practically, this offers a promising pathway to enhance manufacturing productivity, particularly where unforeseen or non-repetitive tasks are involved that benefit from human cognitive flexibility and experience.

Future development of such systems could lead to significant evolutions in remote and tele-mediated interaction between operators and robotic systems across industries beyond manufacturing, such as healthcare or disaster response. These VRCR systems could integrate additional sensory modalities and feedback mechanisms to expand the interactive potential. Moreover, as network infrastructure improves and computational costs decrease, such highly adaptable teleoperation frameworks may form a core component of next-generation, hybrid human-robot work environments.

While the cost-effectiveness and adaptability of this approach are promising, robust longitudinal studies would be necessary to assess the potential wear on operators, especially concerning prolonged use in demanding tasks. Additionally, as VR technology advances, further refinements to improve the synchronization and latency of stimuli in VRCR are crucial to prevent operator discomfort and optimize task precision.

In conclusion, the "Baxter's Homunculus" framework signifies a pivotal evolution in teleoperated robotic systems, advocating for the seamless integration of low-cost VR technologies into complex manufacturing tasks—an accomplishment that holds the promise of remapping the industrial landscape with augmented human-robot collaboration.

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