About this Research Topic
Telerobotics focuses on the remote control of a robot by a human operator. Telerobotics has an established track record of use in many industrial applications (e.g. nuclear fusion remote maintenance, space exploration, surgery). The adoption of telerobotics is expanding to new applications, such as search and rescue, and new technologies introduce innovative solutions to existing challenges.
The focus of this Research Topic is to present the legacy issues across all fields of applied telerobotics and to draw on innovative approaches, methods, and technologies that might be introduced for disrupting existing legacy systems. This collection will present diverse and cross-discipline applications to review the past and to discuss the future of human-machine interaction in applied telerobotics. It will set out the challenges and insights of updating legacy telerobotics systems—be it surgical, nuclear, or space—and present discipline-specific solutions brought to these challenges.
We welcome reviews of established systems from research and industrial applications aiming to identify the lessons learned as well as papers that present novel work on telerobotics in terms of applications, technology, or methodology with high levels of innovation. Systems that have been applied across industry, academia, and throughout all sectors with applications in telerobotics will also be considered.
The primary goals of this Research Topic are (1) to identify the technologies and methods that could introduce improvements to existing operations and (2) to capture the best practices in human-machine interactions that have been identified through a long history of telerobotics operations.
Specifically, papers with the following aims would be highly applicable:
• Identify lessons learned and features that can carry forward from established teleoperation systems;
• Provide insights and encourage innovation from new applications of teleoperation (e.g. search and rescue); and
• Produce a clear roadmap for the future of teleoperation system design and guidelines of best practices to adopt.
Example topics include:
Ground-breaking approaches
• Introduction of new concepts in legacy systems
o Application of virtual/augmented reality in telerobotics
o New sensory modalities (e.g. synthetic viewing)
• Control modes and interaction
o Voice commands
o Brain-Computer interfaces and biophysical signal control
• Application of telerobots in non-traditional areas (e.g. nursing)
Lessons learned and best practices with legacy systems
• Lessons learned from teleoperations and telerobots
• Challenges and applications of enhancing existing legacy telerobotic systems with new technology including hardware and software
• Simulation tools for telerobotics
• Review and assessment of legacy systems
o Metrics of performance
o Operator acceptability and efficiency
We expect the submitted papers to present cutting-edge applications in telerobotics across all fields, giving a great overview of innovative solutions in applications of telerobotics.
The focus of this Research Topic is to present the legacy issues across all fields of applied telerobotics and to draw on innovative approaches, methods, and technologies that might be introduced for disrupting existing legacy systems. This collection will present diverse and cross-discipline applications to review the past and to discuss the future of human-machine interaction in applied telerobotics. It will set out the challenges and insights of updating legacy telerobotics systems—be it surgical, nuclear, or space—and present discipline-specific solutions brought to these challenges.
We welcome reviews of established systems from research and industrial applications aiming to identify the lessons learned as well as papers that present novel work on telerobotics in terms of applications, technology, or methodology with high levels of innovation. Systems that have been applied across industry, academia, and throughout all sectors with applications in telerobotics will also be considered.
The primary goals of this Research Topic are (1) to identify the technologies and methods that could introduce improvements to existing operations and (2) to capture the best practices in human-machine interactions that have been identified through a long history of telerobotics operations.
Specifically, papers with the following aims would be highly applicable:
• Identify lessons learned and features that can carry forward from established teleoperation systems;
• Provide insights and encourage innovation from new applications of teleoperation (e.g. search and rescue); and
• Produce a clear roadmap for the future of teleoperation system design and guidelines of best practices to adopt.
Example topics include:
Ground-breaking approaches
• Introduction of new concepts in legacy systems
o Application of virtual/augmented reality in telerobotics
o New sensory modalities (e.g. synthetic viewing)
• Control modes and interaction
o Voice commands
o Brain-Computer interfaces and biophysical signal control
• Application of telerobots in non-traditional areas (e.g. nursing)
Lessons learned and best practices with legacy systems
• Lessons learned from teleoperations and telerobots
• Challenges and applications of enhancing existing legacy telerobotic systems with new technology including hardware and software
• Simulation tools for telerobotics
• Review and assessment of legacy systems
o Metrics of performance
o Operator acceptability and efficiency
We expect the submitted papers to present cutting-edge applications in telerobotics across all fields, giving a great overview of innovative solutions in applications of telerobotics.
Keywords: Teleoperations, Telerobotics, Human-Machine Interfaces, Haptics, Human-in-the-loop control, Nuclear Robotics, Medical Robotics, Space Robotics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
